• Independently designs, implements, and maintains GraphQL backends using TypeScript, Apollo Server, Axios/Fetch (REST SDKs), MariaDB (SQL) with ObjectionJS + KnexJS, Redis, AWS, and modern authorization frameworks including AuthZ libraries or GraphQL Envelop.
• Applies strong engineering fundamentals, including Linux, Docker, OWASP, SOLID/DRY/KISS/YAGNI, and sound data structures & algorithms for correctness, safety, and efficiency.
• Authors strongly typed schemas using GraphQL SDL or code first frameworks (e.g., GiraphQL/Pothos, TypeGraphQL) and uses GraphQL Code Generator to produce type safe definitions for schemas, resolvers, queries, mutations, and subscriptions.
• Configures Apollo Server with TypeScript; develops type safe resolvers; implements REST and database data sources; manages context initialization (auth, tenancy, request scoping); and enforces query depth/complexity limits, rate limiting, and persisted queries.
• Demonstrates expert SQL capabilities in MariaDB, including schema design, indexing, migrations, query optimization, and resilient data access through ObjectionJS and KnexJS, ensuring idempotent operations and safe transactions.
• Optimizes performance by eliminating N+1 through DataLoader, implementing caching (in memory and Redis), optimizing pagination and batching, and profiling GraphQL resolver and SQL hot paths.
• Implements secure by design GraphQL services, including OAuth/OIDC, encryption in transit/at rest, secret management, input validation, output encoding, least privilege access, and resolver level authorization to mitigate CSRF/CORS and other abuse vectors.
• Defines and executes high quality GraphQL and REST API tests across all API testing types (contract, functional, integration, negative, security, performance) using Browser DevTools, Bruno, and Insomnia, and writes comprehensive unit, integration, and end to end tests.
• Produces maintainable, reusable, type safe code that is fast, idempotent, resilient, observable, and fault tolerant, incorporating retries, exponential backoff, graceful degradation, circuit breakers, and robust structured error surfaces.
• Diagnoses failures across the stack using logs, metrics, traces, database analysis, and network inspection; performs root cause analysis and provides actionable remediations with evidence based findings.
• Operates services locally via Docker and deploys to AWS using appropriate configuration, secrets management, monitoring, and observability tooling; tunes caching, database performance, and GraphQL query execution in production environments.
• Designs stable, versioned, backward compatible GraphQL contracts; maintains API documentation and operational runbooks; and ensures seamless integration between backend logic, database layers, and frontend clients.
Responsibilities
• Independently designs, implements, and maintains GraphQL backends using TypeScript, Apollo Server, Axios/Fetch (REST SDKs), MariaDB (SQL) with ObjectionJS + KnexJS, Redis, AWS, and modern authorization frameworks including AuthZ libraries or GraphQL Envelop.
• Applies strong engineering fundamentals, including Linux, Docker, OWASP, SOLID/DRY/KISS/YAGNI, and sound data structures & algorithms for correctness, safety, and efficiency.
• Authors strongly typed schemas using GraphQL SDL or code first frameworks (e.g., GiraphQL/Pothos, TypeGraphQL) and uses GraphQL Code Generator to produce type safe definitions for schemas, resolvers, queries, mutations, and subscriptions.
• Configures Apollo Server with TypeScript; develops type safe resolvers; implements REST and database data sources; manages context initialization (auth, tenancy, request scoping); and enforces query depth/complexity limits, rate limiting, and persisted queries.
• Demonstrates expert SQL capabilities in MariaDB, including schema design, indexing, migrations, query optimization, and resilient data access through ObjectionJS and KnexJS, ensuring idempotent operations and safe transactions.
• Optimizes performance by eliminating N+1 through DataLoader, implementing caching (in memory and Redis), optimizing pagination and batching, and profiling GraphQL resolver and SQL hot paths.
• Implements secure by design GraphQL services, including OAuth/OIDC, encryption in transit/at rest, secret management, input validation, output encoding, least privilege access, and resolver level authorization to mitigate CSRF/CORS and other abuse vectors.
• Defines and executes high quality GraphQL and REST API tests across all API testing types (contract, functional, integration, negative, security, performance) using Browser DevTools, Bruno, and Insomnia, and writes comprehensive unit, integration, and end to end tests.
• Produces maintainable, reusable, type safe code that is fast, idempotent, resilient, observable, and fault tolerant, incorporating retries, exponential backoff, graceful degradation, circuit breakers, and robust structured error surfaces.
• Diagnoses failures across the stack using logs, metrics, traces, database analysis, and network inspection; performs root cause analysis and provides actionable remediations with evidence based findings.
• Operates services locally via Docker and deploys to AWS using appropriate configuration, secrets management, monitoring, and observability tooling; tunes caching, database performance, and GraphQL query execution in production environments.
• Designs stable, versioned, backward compatible GraphQL contracts; maintains API documentation and operational runbooks; and ensures seamless integration between backend logic, database layers, and frontend clients.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
As a Custom Software Engineer, your day involves creating tailored software solutions by designing, coding, and improving various components within systems or applications. You engage in collaborative environments that emphasize agile methodologies and modern frameworks to ensure the delivery of scalable and efficient software. Your work focuses on addressing unique business requirements through innovative and high-quality software development, contributing to the overall success of projects and organizational goals. Roles & Responsibilities: - Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Collaborate with cross-functional teams to gather and analyze requirements for custom software development.- Maintain and enhance existing software components to improve performance and reliability.- Document development processes and solutions to support knowledge sharing and future maintenance.- Assist junior team members by providing guidance and support to foster their professional growth. Professional & Technical Skills: - Must To Have Skills: Proficiency in ServiceNow Customer Service Management (CSM).- Strong understanding of software development life cycle and agile methodologies.- Experience in designing and implementing scalable software solutions using modern frameworks.- Ability to troubleshoot and resolve complex technical issues effectively.- Familiarity with integration techniques and API development within enterprise environments. Additional Information
Responsibilities
As a Custom Software Engineer, your day involves creating tailored software solutions by designing, coding, and improving various components within systems or applications. You engage in collaborative environments that emphasize agile methodologies and modern frameworks to ensure the delivery of scalable and efficient software. Your work focuses on addressing unique business requirements through innovative and high-quality software development, contributing to the overall success of projects and organizational goals. Roles & Responsibilities: - Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Collaborate with cross-functional teams to gather and analyze requirements for custom software development.- Maintain and enhance existing software components to improve performance and reliability.- Document development processes and solutions to support knowledge sharing and future maintenance.- Assist junior team members by providing guidance and support to foster their professional growth. Professional & Technical Skills: - Must To Have Skills: Proficiency in ServiceNow Customer Service Management (CSM).- Strong understanding of software development life cycle and agile methodologies.- Experience in designing and implementing scalable software solutions using modern frameworks.- Ability to troubleshoot and resolve complex technical issues effectively.- Familiarity with integration techniques and API development within enterprise environments. Additional Information
Salary : Rs. 0.0 - Rs. 75,600.0
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Network Security Engineer JD
Job Description:
Professional services consultant with a eight to ten years’ experience providing post-sales support and professional services activities including implementation and consulting on network security and SD-WAN Deployment and support.
• 8-10 Years experience
• Very good knowledge in Firewall, routing, Switching, SD-WAN, FortiManager, FortiAnalyzer.
• FCP or Equivalent certification.
• Practical Experience in designing and deploying network security products (minimum experience with FortiGate, FortiManager, FortiAnalyzer, Migration, and SD-WAN), with a proven track record of working with Global customers.
• Strong documentation skills.
• Ability to deliver projects to customer satisfaction in collaboration with the PMO team, including deployment, configuration, knowledge transfer, testing, and troubleshooting of products and technologies.
• FCP certifications (or equivalent industry certification).
• Expert knowledge in the area of Network Security (Firewalls, VPN, IDS/IPS, Anti-spam, Web Application firewalling, virus scanning and Email Security (account restriction, Anti-spam and Anti-Virus). LAN/WAN/Internet consulting, support, and/or administration.
• In depth knowledge and experience in TCP/IP, L2 and L3 network devices and also sound experience in LAN/WAN/software administration, design, installation and configuration.
• Ability to learn quickly and adapt to different environments.
• Good communication and troubleshooting skills.
• Flexibility in working hours and travelling to customer place as needed.
Responsibilities
Network Security Engineer JD
Job Description:
Professional services consultant with a eight to ten years’ experience providing post-sales support and professional services activities including implementation and consulting on network security and SD-WAN Deployment and support.
• 8-10 Years experience
• Very good knowledge in Firewall, routing, Switching, SD-WAN, FortiManager, FortiAnalyzer.
• FCP or Equivalent certification.
• Practical Experience in designing and deploying network security products (minimum experience with FortiGate, FortiManager, FortiAnalyzer, Migration, and SD-WAN), with a proven track record of working with Global customers.
• Strong documentation skills.
• Ability to deliver projects to customer satisfaction in collaboration with the PMO team, including deployment, configuration, knowledge transfer, testing, and troubleshooting of products and technologies.
• FCP certifications (or equivalent industry certification).
• Expert knowledge in the area of Network Security (Firewalls, VPN, IDS/IPS, Anti-spam, Web Application firewalling, virus scanning and Email Security (account restriction, Anti-spam and Anti-Virus). LAN/WAN/Internet consulting, support, and/or administration.
• In depth knowledge and experience in TCP/IP, L2 and L3 network devices and also sound experience in LAN/WAN/software administration, design, installation and configuration.
• Ability to learn quickly and adapt to different environments.
• Good communication and troubleshooting skills.
• Flexibility in working hours and travelling to customer place as needed.
Salary : Rs. 1,25,000.0 - Rs. 1,50,000.0
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
As a Custom Software Engineer, a typical day involves creating tailored software solutions by designing, coding, and improving various components within systems or applications. The role requires working closely with team members to apply modern development frameworks and agile methodologies, ensuring that the solutions delivered are scalable, efficient, and aligned with the unique requirements of the business. This position offers an opportunity to engage in continuous problem-solving and innovation to meet evolving project demands. Roles & Responsibilities: - Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Collaborate with cross-functional teams to gather and analyze requirements for custom software development.- Maintain and enhance existing software components to improve performance and reliability.- Document development processes and solutions to support knowledge sharing and future maintenance.- Assist junior team members by providing guidance and support in technical challenges. Professional & Technical Skills: - Must To Have Skills: Proficiency in ServiceNow IT Service Management.- Experience in customizing and configuring ServiceNow modules to meet business needs.- Strong understanding of IT service management processes and best practices.- Ability to develop and maintain workflows, business rules, and client scripts within ServiceNow.- Familiarity with integration techniques and APIs to connect ServiceNow with other enterprise systems. Additional Information: - The candidate should have minimum 3 years of experience in ServiceNow IT Service Management.- This position is based at our Pune office.- A 15 years full time education is required.
Responsibilities
As a Custom Software Engineer, a typical day involves creating tailored software solutions by designing, coding, and improving various components within systems or applications. The role requires working closely with team members to apply modern development frameworks and agile methodologies, ensuring that the solutions delivered are scalable, efficient, and aligned with the unique requirements of the business. This position offers an opportunity to engage in continuous problem-solving and innovation to meet evolving project demands. Roles & Responsibilities: - Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Collaborate with cross-functional teams to gather and analyze requirements for custom software development.- Maintain and enhance existing software components to improve performance and reliability.- Document development processes and solutions to support knowledge sharing and future maintenance.- Assist junior team members by providing guidance and support in technical challenges. Professional & Technical Skills: - Must To Have Skills: Proficiency in ServiceNow IT Service Management.- Experience in customizing and configuring ServiceNow modules to meet business needs.- Strong understanding of IT service management processes and best practices.- Ability to develop and maintain workflows, business rules, and client scripts within ServiceNow.- Familiarity with integration techniques and APIs to connect ServiceNow with other enterprise systems. Additional Information: - The candidate should have minimum 3 years of experience in ServiceNow IT Service Management.- This position is based at our Pune office.- A 15 years full time education is required.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
As a Custom Software Engineer, a typical day involves designing and developing tailored software components that integrate seamlessly within larger systems or applications. The role requires continuous collaboration with various stakeholders to understand business requirements and translate them into effective software solutions. The engineer actively participates in iterative development cycles, ensuring that the software is scalable, efficient, and aligned with evolving business objectives. Problem-solving and innovation are key aspects, as the engineer refines and enhances existing functionalities to meet dynamic organizational need
Responsibilities
As a Custom Software Engineer, a typical day involves designing and developing tailored software components that integrate seamlessly within larger systems or applications. The role requires continuous collaboration with various stakeholders to understand business requirements and translate them into effective software solutions. The engineer actively participates in iterative development cycles, ensuring that the software is scalable, efficient, and aligned with evolving business objectives. Problem-solving and innovation are key aspects, as the engineer refines and enhances existing functionalities to meet dynamic organizational need
Salary : Rs. 0.0 - Rs. 1,36,000.0
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
JoulestoWatts Business Solutions
Confidential · Internal Use OnlyPage
AI Consultant · Senior / Lead
Bangalore | Full-Time
6–12 Years · AI Strategy & Delivery · Enterprise AI Products
ROLE SUMMARY
You spend roughly equal parts of your time sitting with clients to understand what they actually need, designing AI solution architectures, and translating ambiguity into business cases, roadmaps, and delivery plans — while staying close enough to the technical work to lead through what you produce, not just through what you specify.
This role exists because most AI consultants we meet are either strong advisors who cannot architect, or strong engineers who cannot navigate a boardroom. We need someone who does both, and prefers it that way.
AI is the core of everything you will deliver. You will work across supervised ML, generative AI, LLM pipelines, RAG systems, and agentic workflows — bringing hands-on experience in Python, cloud platforms, and the broader AI/ML stack, alongside the consulting craft to make it land with clients.
The split is roughly 40% solutioning and client engagement, 60% delivery oversight and hands-on contribution. The exact balance flexes with the engagement.
WHAT YOU WILL DO
Client Engagement & Advisory
–
Engage with client stakeholders — CTOs, business sponsors, functional leads — to understand business problems, current-state processes, and decision-making workflows.
–
Conduct AI readiness assessments across data maturity, infrastructure, organisational capability, and process suitability for ML adoption.
–
Define and present AI solution roadmaps, use case prioritisation frameworks, and ROI models to senior stakeholders.
–
Translate complex AI concepts and model outputs into clear, business-relevant narratives for non-technical audiences.
–
Lead workshops, discovery sessions, and requirement-gathering exercises across cross-functional teams. The bar is to leave the room with a sharper problem statement than you walked in with.
Solution Architecture & Design
–
Design end-to-end AI solution architectures: data pipelines, model layer, inference services, and integration with existing enterprise systems.
–
Define data requirements, feature engineering strategies, and model evaluation criteria aligned to business objectives.
–
Assess build vs. buy vs. integrate options for AI components; provide structured recommendations with trade-off analysis.
–
Develop solution blueprints, architecture decision records, and technical specifications for delivery teams.
Delivery Oversight
–
Act as the technical bridge between client stakeholders and delivery and engineering teams throughout the project lifecycle.
–
Own solution quality: review model outputs, validate results against business acceptance criteria, and sign off on deployments.
–
Identify risks, dependencies, and scope changes; manage escalations and course corrections proactively.
–
Contribute to proof-of-concept development and prototype validation where required. You write code when it matters, not only when it is convenient.
JoulestoWatts Business Solutions
Confidential · Internal Use OnlyPage
Practice & Capability Development
–
Contribute to internal AI practice development: frameworks, reusable assets, methodology documentation, and proposal templates.
–
Support pre-sales activities: solution scoping, effort estimation, and proposal writing for AI engagements. You support the commercial motion; you do not own it.
–
Mentor junior consultants and analysts on both the technical and client-facing dimensions of AI delivery.
TECHNICAL SKILLS
This is the stack we expect you to be fluent in. Not every engagement uses every item, but a senior candidate will have hands-on experience across most of these.
AI & Machine Learning
–
Practical experience with supervised, unsupervised, and generative AI approaches applied to real business problems.
–
Model selection, evaluation, and trade-off analysis across regression, classification, and time-series tasks.
–
Explainability and responsible AI: bias assessment, confidence scoring, auditability.
–
Python ML stack: scikit-learn, XGBoost, PyTorch, or TensorFlow at production depth.
LLM & Generative AI
–
Applied LLM solutioning: RAG pipelines (chunking, embeddings, retrieval, re-ranking, evaluation), prompt engineering, structured output generation.
–
Agent frameworks: LangChain, LangGraph, or equivalent. MCP and tool calling.
–
Evaluating LLM fit vs. traditional ML for specific business use cases.
–
Governance and risk considerations for generative AI in enterprise environments.
Data & Architecture
–
Data architecture for AI systems: pipelines, feature engineering, storage, and integration patterns.
–
Cloud platform fluency: AWS, GCP, or Azure — including managed AI/ML services such as SageMaker, Vertex AI, or Azure ML.
–
API design and system integration concepts for embedding AI into enterprise workflows.
–
MLOps awareness: deployment, versioning, monitoring, and retraining cycles.
CONSULTING EXPERIENCE
We are not looking for someone who has advised from the sidelines. We are looking for someone who has owned delivery end-to-end.
–
You have run the full consulting cycle: discovery, solutioning, implementation oversight, and handover. You can walk through what you defined, what changed, and why.
–
You are comfortable in senior client conversations — CTOs, VPs, business sponsors — and know the difference between asking better questions and giving better answers.
–
You can probe a vague client request and surface the actual problem. Ambiguity is an opportunity, not a blocker.
–
You write well. One-page proposals, architecture documents, board-ready presentations, and concise stakeholder updates — with equal ease.
–
You have built business cases and ROI models that held up in procurement. You know what executives actually read in a slide deck.
–
You have worked in or alongside agile delivery teams and know when to move fast and when to slow down.
JoulestoWatts Business Solutions
Confidential · Internal Use OnlyPage
AI DELIVERY EXPERIENCE
We are not looking for a research scientist or someone who has only written notebooks. We are looking for someone who treats AI as production delivery.
–
You have shipped real AI solutions with users or business outcomes on the other end. You can name the systems, the stack, the failure modes, and what you fixed.
–
You understand the difference between a proof of concept and a production system. You have evaluation frameworks, observability, fallbacks, cost controls.
–
You exercise sound judgment on when AI helps and when it adds risk. You have recommended against AI-where-AI-does-not-fit and can explain why.
–
You are comfortable with the pace of the field. You read, test, and adapt. You do not require a stable spec to make progress.
–
You can explain LLM behaviour, model confidence, and AI limitations to a non-technical client without dumbing it down or overselling.
–
You have run pilots to demonstrate feasibility before full-scale delivery. You know how to design a pilot that answers the right question and builds stakeholder confidence — not just technical proof of concept.
–
Ideal candidate should have a product and microservice mindset — thinking in terms of composable, independently deployable components rather than monolithic solutions, and applying product discipline to how AI capabilities are scoped, iterated, and adopted.
CLIENT AND COMMUNICATION SKILLS
–
You have worked directly with external clients, not only internal stakeholders, at senior and executive levels.
–
You can run a discovery session and walk out with a sharper problem statement than when you walked in.
–
You write well and produce clean, concise deliverables: proposals, solution briefs, architecture documents, executive summaries.
–
You present technical work to non-technical audiences without losing them or condescending to them.
–
You navigate complex organisational dynamics and competing stakeholder interests without losing the plot.
LEADERSHIP
–
You have led delivery teams or mentored consultants and analysts through engagements. You know the difference between leading and managing.
–
You mentor others and can name specific people who grew under your guidance.
–
You set the bar through your own work and through the standards you hold others to in reviews and delivery checkpoints.
–
You are comfortable being the most senior technical voice in the room, and comfortable not being.
NICE TO HAVE
–
Domain experience in pricing, estimation, commercial operations, engineering services, or manufacturing.
–
Exposure to digital twin concepts, simulation models, or operations research applied to enterprise decisions.
–
Experience delivering AI in regulated or audit-sensitive environments.
–
Prior experience in a product company or AI platform business — not only services or consulting.
–
Familiarity with enterprise systems: ERP, CRM, CPQ, or PLM platforms as integration contexts.
JoulestoWatts Business Solutions
Confidential · Internal Use OnlyPage
–
Specific exposure to production agentic systems.
WHAT THIS ROLE IS NOT
–
Not a pure advisory role. If your last two years have been strategy decks without delivery accountability, this is not the right fit.
–
Not a pure engineering role. We need someone who leads through client relationships and delivery, not only through code.
–
Not a research role. We deliver production AI, not papers or experiments.
–
Not a pre-sales role. You support the commercial motion; you do not own it.
–
Not a project management role. You should understand what your team is delivering because you are close to the outputs, not because you are tracking a Gantt chart.
QUALIFICATIONS
–
Bachelor’s or Master’s degree in Computer Science, Engineering, Statistics, or a related quantitative field.
–
6–12 years of experience spanning AI/ML engineering and client-facing consulting or solutioning roles.
–
Demonstrated track record of delivering AI solutions from problem definition through to production and business adoption.
–
Strong written and verbal communication skills; ability to produce board-ready presentations and detailed technical documents.
HOW WE WILL EVALUATE YOU
–
A portfolio of AI engagements or delivered solutions we can discuss in depth. We care about what you have actually shipped.
–
A technical conversation walking through one of your past AI projects: the problem, the approach, what broke, and what you would do differently.
–
A solutioning exercise where we hand you a vague client problem and watch you probe, scope, and propose. The exercise is graded on the questions you ask, not just the answer you produce.
–
A short paired session, live, on an AI-flavoured problem. We want to see how you think and work, not just what you can describe.
–
A reference conversation with a client, colleague, or team member who has seen you deliver.
Responsibilities
JoulestoWatts Business Solutions
Confidential · Internal Use OnlyPage
AI Consultant · Senior / Lead
Bangalore | Full-Time
6–12 Years · AI Strategy & Delivery · Enterprise AI Products
ROLE SUMMARY
You spend roughly equal parts of your time sitting with clients to understand what they actually need, designing AI solution architectures, and translating ambiguity into business cases, roadmaps, and delivery plans — while staying close enough to the technical work to lead through what you produce, not just through what you specify.
This role exists because most AI consultants we meet are either strong advisors who cannot architect, or strong engineers who cannot navigate a boardroom. We need someone who does both, and prefers it that way.
AI is the core of everything you will deliver. You will work across supervised ML, generative AI, LLM pipelines, RAG systems, and agentic workflows — bringing hands-on experience in Python, cloud platforms, and the broader AI/ML stack, alongside the consulting craft to make it land with clients.
The split is roughly 40% solutioning and client engagement, 60% delivery oversight and hands-on contribution. The exact balance flexes with the engagement.
WHAT YOU WILL DO
Client Engagement & Advisory
–
Engage with client stakeholders — CTOs, business sponsors, functional leads — to understand business problems, current-state processes, and decision-making workflows.
–
Conduct AI readiness assessments across data maturity, infrastructure, organisational capability, and process suitability for ML adoption.
–
Define and present AI solution roadmaps, use case prioritisation frameworks, and ROI models to senior stakeholders.
–
Translate complex AI concepts and model outputs into clear, business-relevant narratives for non-technical audiences.
–
Lead workshops, discovery sessions, and requirement-gathering exercises across cross-functional teams. The bar is to leave the room with a sharper problem statement than you walked in with.
Solution Architecture & Design
–
Design end-to-end AI solution architectures: data pipelines, model layer, inference services, and integration with existing enterprise systems.
–
Define data requirements, feature engineering strategies, and model evaluation criteria aligned to business objectives.
–
Assess build vs. buy vs. integrate options for AI components; provide structured recommendations with trade-off analysis.
–
Develop solution blueprints, architecture decision records, and technical specifications for delivery teams.
Delivery Oversight
–
Act as the technical bridge between client stakeholders and delivery and engineering teams throughout the project lifecycle.
–
Own solution quality: review model outputs, validate results against business acceptance criteria, and sign off on deployments.
–
Identify risks, dependencies, and scope changes; manage escalations and course corrections proactively.
–
Contribute to proof-of-concept development and prototype validation where required. You write code when it matters, not only when it is convenient.
JoulestoWatts Business Solutions
Confidential · Internal Use OnlyPage
Practice & Capability Development
–
Contribute to internal AI practice development: frameworks, reusable assets, methodology documentation, and proposal templates.
–
Support pre-sales activities: solution scoping, effort estimation, and proposal writing for AI engagements. You support the commercial motion; you do not own it.
–
Mentor junior consultants and analysts on both the technical and client-facing dimensions of AI delivery.
TECHNICAL SKILLS
This is the stack we expect you to be fluent in. Not every engagement uses every item, but a senior candidate will have hands-on experience across most of these.
AI & Machine Learning
–
Practical experience with supervised, unsupervised, and generative AI approaches applied to real business problems.
–
Model selection, evaluation, and trade-off analysis across regression, classification, and time-series tasks.
–
Explainability and responsible AI: bias assessment, confidence scoring, auditability.
–
Python ML stack: scikit-learn, XGBoost, PyTorch, or TensorFlow at production depth.
LLM & Generative AI
–
Applied LLM solutioning: RAG pipelines (chunking, embeddings, retrieval, re-ranking, evaluation), prompt engineering, structured output generation.
–
Agent frameworks: LangChain, LangGraph, or equivalent. MCP and tool calling.
–
Evaluating LLM fit vs. traditional ML for specific business use cases.
–
Governance and risk considerations for generative AI in enterprise environments.
Data & Architecture
–
Data architecture for AI systems: pipelines, feature engineering, storage, and integration patterns.
–
Cloud platform fluency: AWS, GCP, or Azure — including managed AI/ML services such as SageMaker, Vertex AI, or Azure ML.
–
API design and system integration concepts for embedding AI into enterprise workflows.
–
MLOps awareness: deployment, versioning, monitoring, and retraining cycles.
CONSULTING EXPERIENCE
We are not looking for someone who has advised from the sidelines. We are looking for someone who has owned delivery end-to-end.
–
You have run the full consulting cycle: discovery, solutioning, implementation oversight, and handover. You can walk through what you defined, what changed, and why.
–
You are comfortable in senior client conversations — CTOs, VPs, business sponsors — and know the difference between asking better questions and giving better answers.
–
You can probe a vague client request and surface the actual problem. Ambiguity is an opportunity, not a blocker.
–
You write well. One-page proposals, architecture documents, board-ready presentations, and concise stakeholder updates — with equal ease.
–
You have built business cases and ROI models that held up in procurement. You know what executives actually read in a slide deck.
–
You have worked in or alongside agile delivery teams and know when to move fast and when to slow down.
JoulestoWatts Business Solutions
Confidential · Internal Use OnlyPage
AI DELIVERY EXPERIENCE
We are not looking for a research scientist or someone who has only written notebooks. We are looking for someone who treats AI as production delivery.
–
You have shipped real AI solutions with users or business outcomes on the other end. You can name the systems, the stack, the failure modes, and what you fixed.
–
You understand the difference between a proof of concept and a production system. You have evaluation frameworks, observability, fallbacks, cost controls.
–
You exercise sound judgment on when AI helps and when it adds risk. You have recommended against AI-where-AI-does-not-fit and can explain why.
–
You are comfortable with the pace of the field. You read, test, and adapt. You do not require a stable spec to make progress.
–
You can explain LLM behaviour, model confidence, and AI limitations to a non-technical client without dumbing it down or overselling.
–
You have run pilots to demonstrate feasibility before full-scale delivery. You know how to design a pilot that answers the right question and builds stakeholder confidence — not just technical proof of concept.
–
Ideal candidate should have a product and microservice mindset — thinking in terms of composable, independently deployable components rather than monolithic solutions, and applying product discipline to how AI capabilities are scoped, iterated, and adopted.
CLIENT AND COMMUNICATION SKILLS
–
You have worked directly with external clients, not only internal stakeholders, at senior and executive levels.
–
You can run a discovery session and walk out with a sharper problem statement than when you walked in.
–
You write well and produce clean, concise deliverables: proposals, solution briefs, architecture documents, executive summaries.
–
You present technical work to non-technical audiences without losing them or condescending to them.
–
You navigate complex organisational dynamics and competing stakeholder interests without losing the plot.
LEADERSHIP
–
You have led delivery teams or mentored consultants and analysts through engagements. You know the difference between leading and managing.
–
You mentor others and can name specific people who grew under your guidance.
–
You set the bar through your own work and through the standards you hold others to in reviews and delivery checkpoints.
–
You are comfortable being the most senior technical voice in the room, and comfortable not being.
NICE TO HAVE
–
Domain experience in pricing, estimation, commercial operations, engineering services, or manufacturing.
–
Exposure to digital twin concepts, simulation models, or operations research applied to enterprise decisions.
–
Experience delivering AI in regulated or audit-sensitive environments.
–
Prior experience in a product company or AI platform business — not only services or consulting.
–
Familiarity with enterprise systems: ERP, CRM, CPQ, or PLM platforms as integration contexts.
JoulestoWatts Business Solutions
Confidential · Internal Use OnlyPage
–
Specific exposure to production agentic systems.
WHAT THIS ROLE IS NOT
–
Not a pure advisory role. If your last two years have been strategy decks without delivery accountability, this is not the right fit.
–
Not a pure engineering role. We need someone who leads through client relationships and delivery, not only through code.
–
Not a research role. We deliver production AI, not papers or experiments.
–
Not a pre-sales role. You support the commercial motion; you do not own it.
–
Not a project management role. You should understand what your team is delivering because you are close to the outputs, not because you are tracking a Gantt chart.
QUALIFICATIONS
–
Bachelor’s or Master’s degree in Computer Science, Engineering, Statistics, or a related quantitative field.
–
6–12 years of experience spanning AI/ML engineering and client-facing consulting or solutioning roles.
–
Demonstrated track record of delivering AI solutions from problem definition through to production and business adoption.
–
Strong written and verbal communication skills; ability to produce board-ready presentations and detailed technical documents.
HOW WE WILL EVALUATE YOU
–
A portfolio of AI engagements or delivered solutions we can discuss in depth. We care about what you have actually shipped.
–
A technical conversation walking through one of your past AI projects: the problem, the approach, what broke, and what you would do differently.
–
A solutioning exercise where we hand you a vague client problem and watch you probe, scope, and propose. The exercise is graded on the questions you ask, not just the answer you produce.
–
A short paired session, live, on an AI-flavoured problem. We want to see how you think and work, not just what you can describe.
–
A reference conversation with a client, colleague, or team member who has seen you deliver.
Salary : Rs. 2,50,000.0 - Rs. 5,00,000.0
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
JoulestoWatts Business Solutions
Confidential · Internal Use Only
UX Engineer · Senior / Lead
Bangalore | Full-Time
6–12 Years · Product Design & Frontend Engineering · AI-Powered Enterprise Products
ROLE SUMMARY
You own the frontend of AI-powered enterprise products — translating product requirements into production-ready, accessible, and performant interfaces. This role sits at the intersection of design and engineering, and requires equal competency in both.
This role exists because most frontend engineers we meet either cannot design or cannot reason about the unique UX challenges of AI-driven products. We need someone who bridges that gap: who can implement a pixel-perfect component from a Figma spec in the morning and spend the afternoon defining how confidence scores and probabilistic outputs should behave in a human-in-the-loop review queue.
AI is woven through almost everything we ship. You will build interfaces for LLM outputs, model comparisons, explainability surfaces, and approval workflows — and you will bring the engineering discipline to make them fast, accessible, and production-grade.
The split is roughly 70% hands-on frontend engineering, 30% design collaboration and UX definition. The exact balance flexes with the product.
WHAT YOU WILL DO
Interface Development
–
Build production-grade React and TypeScript interfaces from design specifications, owning quality from component to deployment.
–
Develop and maintain a shared component library and design system used across multiple products and teams.
–
Implement complex, data-heavy dashboards with real-time updates, drill-downs, and configurable views.
–
Engineer multi-step workflows, configuration panels, and form-heavy interfaces with robust validation and error handling.
AI Product UX
–
Implement UI patterns for AI outputs: confidence scores, probability ranges, explanation panels, and suggestion overlays.
–
Build interfaces that support human-in-the-loop workflows: review queues, approval flows, override mechanisms, and audit logs.
–
Define API contracts with backend and ML engineers to optimise data delivery for frontend requirements. You know what you need and can specify it clearly.
Quality & Collaboration
–
Enforce WCAG 2.1 AA accessibility standards across all interfaces. Accessibility is not a checklist; it is a design constraint from the start.
–
Conduct usability testing with domain users; iterate based on findings, not assumptions.
–
Own frontend performance: Core Web Vitals, bundle optimisation, lazy loading, and caching strategies.
–
Lead code reviews, enforce coding standards, and mentor junior engineers through delivery.
TECHNICAL SKILLS
JoulestoWatts Business Solutions
Confidential · Internal Use Only
This is the stack we expect you to be fluent in. Not every product uses every item, but a senior candidate will have hands-on production experience across most of these.
Frontend Engineering
–
React — 5+ years in production: hooks, context, code splitting, performance optimisation.
–
TypeScript in strict mode, non-negotiable. You write types that help the next engineer, not ones that appease the compiler.
–
CSS: Tailwind CSS, CSS Modules, or styled-components at production depth.
–
State management: React Query, Zustand, or Redux Toolkit. You know when each is the right tool.
–
REST and GraphQL API integration; WebSocket for real-time feeds.
Data Visualisation
–
D3.js, Recharts, Nivo, or Plotly for custom charts and interactive graphs.
–
Virtualised lists and canvas rendering for large datasets without sacrificing responsiveness.
–
Visual representation of probabilistic outputs — confidence bands, distributions, uncertainty ranges.
UX Engineering
–
Translating Figma or Sketch designs into high-fidelity production interfaces without losing intent.
–
Designing form workflows: multi-step wizards, conditional logic, inline validation.
–
Strong grasp of information hierarchy and progressive disclosure in data-dense enterprise UIs.
ENGINEERING EXPERIENCE
We are looking for someone with 6 to 12 years of hands-on frontend and UX engineering in product environments. Beyond the stack, what matters:
–
You have personally delivered production interfaces end-to-end, more than once. You can walk through component architecture decisions, what broke in production, and what you would do differently.
–
You stay close to the code. Your last meaningful pull request was this week, not last quarter.
–
You design for the system that will exist in two years — a component library that scales, a design system that teams actually adopt — while also knowing when to stop designing and start shipping.
–
You are comfortable owning ambiguity. A vague product brief is an opportunity to ask better questions, not a blocker.
–
You read design files well, implement them cleanly, and push back constructively when something will not work at scale.
–
You have shipped in environments where the backend API was still being defined. You know how to move forward with mocks and align later.
AI PRODUCT EXPERIENCE
We are not looking for someone who has styled a chatbot interface. We are looking for someone who has thought deeply about how AI outputs should behave in a product.
–
You have shipped interfaces for AI-generated content or model outputs. You can name the product, the challenges, and the decisions you made.
–
You understand the difference between a demo interface and one that handles edge cases: empty states, low-confidence outputs, model errors, and latency.
–
You exercise sound judgment on when to expose AI uncertainty to the user and when to abstract it. You have made that call and can explain why.
–
You can work with ML engineers to understand what data is available and shape the frontend experience around realistic model outputs, not ideal ones.
JoulestoWatts Business Solutions
Confidential · Internal Use Only
NICE TO HAVE
–
Experience with AI product UIs: prompt-driven interfaces, model comparison views, or explainability surfaces.
–
Enterprise B2B product background: pricing, CPQ, ERP-adjacent, or analytics applications.
–
Ownership of or contribution to a multi-team shared design system.
–
Familiarity with micro-frontend architecture or module federation.
–
Domain exposure: engineering services, manufacturing, automotive, or similar technical industries.
WHAT THIS ROLE IS NOT
–
Not a pure design role. If your last two years have been Figma files without production code, this is not the right fit.
–
Not a pure engineering role. We need someone who can hold a design opinion and push back on patterns that will not serve users.
–
Not a marketing or consumer product role. This is enterprise software: data-dense, workflow-driven, and used by domain experts.
–
Not a delivery management role. You should know what the frontend is doing because you are reviewing the pull requests and writing a significant portion of the code.
QUALIFICATIONS
–
Bachelor’s or Master’s degree in Computer Science, Design, Human-Computer Interaction, or equivalent practical experience.
–
6–12 years of hands-on frontend and UX engineering in product environments.
–
Portfolio of shipped, production interfaces — enterprise or data-heavy applications preferred.
–
Strong written and verbal communication skills; ability to present design and engineering trade-offs to product and business stakeholders.
HOW WE WILL EVALUATE YOU
–
A portfolio of shipped interfaces we can discuss in depth. We care about decisions made, not just how things look.
–
A technical conversation walking through one of your past frontend projects: the architecture, what broke, and what you would do differently.
–
A design-to-code exercise where we hand you a Figma spec and an ambiguous brief. The exercise is graded on how you handle the gaps, not just whether the output renders.
–
A short live session on a small UI problem with AI output patterns. We want to see how you think in real time.
–
A reference conversation with someone who has worked with you on a shipped product.
Responsibilities
JoulestoWatts Business Solutions
Confidential · Internal Use Only
UX Engineer · Senior / Lead
Bangalore | Full-Time
6–12 Years · Product Design & Frontend Engineering · AI-Powered Enterprise Products
ROLE SUMMARY
You own the frontend of AI-powered enterprise products — translating product requirements into production-ready, accessible, and performant interfaces. This role sits at the intersection of design and engineering, and requires equal competency in both.
This role exists because most frontend engineers we meet either cannot design or cannot reason about the unique UX challenges of AI-driven products. We need someone who bridges that gap: who can implement a pixel-perfect component from a Figma spec in the morning and spend the afternoon defining how confidence scores and probabilistic outputs should behave in a human-in-the-loop review queue.
AI is woven through almost everything we ship. You will build interfaces for LLM outputs, model comparisons, explainability surfaces, and approval workflows — and you will bring the engineering discipline to make them fast, accessible, and production-grade.
The split is roughly 70% hands-on frontend engineering, 30% design collaboration and UX definition. The exact balance flexes with the product.
WHAT YOU WILL DO
Interface Development
–
Build production-grade React and TypeScript interfaces from design specifications, owning quality from component to deployment.
–
Develop and maintain a shared component library and design system used across multiple products and teams.
–
Implement complex, data-heavy dashboards with real-time updates, drill-downs, and configurable views.
–
Engineer multi-step workflows, configuration panels, and form-heavy interfaces with robust validation and error handling.
AI Product UX
–
Implement UI patterns for AI outputs: confidence scores, probability ranges, explanation panels, and suggestion overlays.
–
Build interfaces that support human-in-the-loop workflows: review queues, approval flows, override mechanisms, and audit logs.
–
Define API contracts with backend and ML engineers to optimise data delivery for frontend requirements. You know what you need and can specify it clearly.
Quality & Collaboration
–
Enforce WCAG 2.1 AA accessibility standards across all interfaces. Accessibility is not a checklist; it is a design constraint from the start.
–
Conduct usability testing with domain users; iterate based on findings, not assumptions.
–
Own frontend performance: Core Web Vitals, bundle optimisation, lazy loading, and caching strategies.
–
Lead code reviews, enforce coding standards, and mentor junior engineers through delivery.
TECHNICAL SKILLS
JoulestoWatts Business Solutions
Confidential · Internal Use Only
This is the stack we expect you to be fluent in. Not every product uses every item, but a senior candidate will have hands-on production experience across most of these.
Frontend Engineering
–
React — 5+ years in production: hooks, context, code splitting, performance optimisation.
–
TypeScript in strict mode, non-negotiable. You write types that help the next engineer, not ones that appease the compiler.
–
CSS: Tailwind CSS, CSS Modules, or styled-components at production depth.
–
State management: React Query, Zustand, or Redux Toolkit. You know when each is the right tool.
–
REST and GraphQL API integration; WebSocket for real-time feeds.
Data Visualisation
–
D3.js, Recharts, Nivo, or Plotly for custom charts and interactive graphs.
–
Virtualised lists and canvas rendering for large datasets without sacrificing responsiveness.
–
Visual representation of probabilistic outputs — confidence bands, distributions, uncertainty ranges.
UX Engineering
–
Translating Figma or Sketch designs into high-fidelity production interfaces without losing intent.
–
Designing form workflows: multi-step wizards, conditional logic, inline validation.
–
Strong grasp of information hierarchy and progressive disclosure in data-dense enterprise UIs.
ENGINEERING EXPERIENCE
We are looking for someone with 6 to 12 years of hands-on frontend and UX engineering in product environments. Beyond the stack, what matters:
–
You have personally delivered production interfaces end-to-end, more than once. You can walk through component architecture decisions, what broke in production, and what you would do differently.
–
You stay close to the code. Your last meaningful pull request was this week, not last quarter.
–
You design for the system that will exist in two years — a component library that scales, a design system that teams actually adopt — while also knowing when to stop designing and start shipping.
–
You are comfortable owning ambiguity. A vague product brief is an opportunity to ask better questions, not a blocker.
–
You read design files well, implement them cleanly, and push back constructively when something will not work at scale.
–
You have shipped in environments where the backend API was still being defined. You know how to move forward with mocks and align later.
AI PRODUCT EXPERIENCE
We are not looking for someone who has styled a chatbot interface. We are looking for someone who has thought deeply about how AI outputs should behave in a product.
–
You have shipped interfaces for AI-generated content or model outputs. You can name the product, the challenges, and the decisions you made.
–
You understand the difference between a demo interface and one that handles edge cases: empty states, low-confidence outputs, model errors, and latency.
–
You exercise sound judgment on when to expose AI uncertainty to the user and when to abstract it. You have made that call and can explain why.
–
You can work with ML engineers to understand what data is available and shape the frontend experience around realistic model outputs, not ideal ones.
JoulestoWatts Business Solutions
Confidential · Internal Use Only
NICE TO HAVE
–
Experience with AI product UIs: prompt-driven interfaces, model comparison views, or explainability surfaces.
–
Enterprise B2B product background: pricing, CPQ, ERP-adjacent, or analytics applications.
–
Ownership of or contribution to a multi-team shared design system.
–
Familiarity with micro-frontend architecture or module federation.
–
Domain exposure: engineering services, manufacturing, automotive, or similar technical industries.
WHAT THIS ROLE IS NOT
–
Not a pure design role. If your last two years have been Figma files without production code, this is not the right fit.
–
Not a pure engineering role. We need someone who can hold a design opinion and push back on patterns that will not serve users.
–
Not a marketing or consumer product role. This is enterprise software: data-dense, workflow-driven, and used by domain experts.
–
Not a delivery management role. You should know what the frontend is doing because you are reviewing the pull requests and writing a significant portion of the code.
QUALIFICATIONS
–
Bachelor’s or Master’s degree in Computer Science, Design, Human-Computer Interaction, or equivalent practical experience.
–
6–12 years of hands-on frontend and UX engineering in product environments.
–
Portfolio of shipped, production interfaces — enterprise or data-heavy applications preferred.
–
Strong written and verbal communication skills; ability to present design and engineering trade-offs to product and business stakeholders.
HOW WE WILL EVALUATE YOU
–
A portfolio of shipped interfaces we can discuss in depth. We care about decisions made, not just how things look.
–
A technical conversation walking through one of your past frontend projects: the architecture, what broke, and what you would do differently.
–
A design-to-code exercise where we hand you a Figma spec and an ambiguous brief. The exercise is graded on how you handle the gaps, not just whether the output renders.
–
A short live session on a small UI problem with AI output patterns. We want to see how you think in real time.
–
A reference conversation with someone who has worked with you on a shipped product.
Salary : Rs. 1,50,000.0 - Rs. 2,00,000.0
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
As a Translator, your typical day involves delivering precise and accurate technical translation services for various technology programs and projects. You will engage with complex content, ensuring that the meaning and context are preserved while adapting the material to meet the needs of diverse audiences. Your role requires careful attention to detail and a commitment to maintaining the integrity of the original information across different languages and cultural contexts. Collaboration with project teams to understand the nuances of technical content and timely delivery of translations are key aspects of your daily responsibilities.
Roles & Responsibilities:
- Expected to perform independently and become an SME.
- Required active participation/contribution in team discussions.
- Contribute in providing solutions to work related problems.
- Maintain high standards of accuracy and consistency in all translations.
- Collaborate with subject matter experts to clarify technical terminology and concepts.
- Manage multiple translation assignments efficiently to meet project deadlines.
- Continuously update knowledge of industry-specific terminology and language usage.
- Support junior team members by sharing best practices and providing guidance.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Polish Language.
- Strong command of grammar, syntax, and vocabulary in both source and target languages.
- Ability to interpret and translate complex technical documents with clarity.
- Familiarity with translation tools and software to enhance productivity.
- Excellent research skills to verify terminology and ensure accuracy.
- Attention to detail and commitment to maintaining the original meaning and tone.
Additional Information:
- The candidate should have minimum 3 years of experience in Polish Language.
- This position is based at our Pune office.
- A 15 years full time education is required
Responsibilities
As a Translator, your typical day involves delivering precise and accurate technical translation services for various technology programs and projects. You will engage with complex content, ensuring that the meaning and context are preserved while adapting the material to meet the needs of diverse audiences. Your role requires careful attention to detail and a commitment to maintaining the integrity of the original information across different languages and cultural contexts. Collaboration with project teams to understand the nuances of technical content and timely delivery of translations are key aspects of your daily responsibilities.
Roles & Responsibilities:
- Expected to perform independently and become an SME.
- Required active participation/contribution in team discussions.
- Contribute in providing solutions to work related problems.
- Maintain high standards of accuracy and consistency in all translations.
- Collaborate with subject matter experts to clarify technical terminology and concepts.
- Manage multiple translation assignments efficiently to meet project deadlines.
- Continuously update knowledge of industry-specific terminology and language usage.
- Support junior team members by sharing best practices and providing guidance.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Polish Language.
- Strong command of grammar, syntax, and vocabulary in both source and target languages.
- Ability to interpret and translate complex technical documents with clarity.
- Familiarity with translation tools and software to enhance productivity.
- Excellent research skills to verify terminology and ensure accuracy.
- Attention to detail and commitment to maintaining the original meaning and tone.
Additional Information:
- The candidate should have minimum 3 years of experience in Polish Language.
- This position is based at our Pune office.
- A 15 years full time education is required
Salary : Rs. 0.0 - Rs. 1,46,000.0
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
As a Translator, your typical day involves delivering precise and accurate technical translation services tailored to various technology programs and projects. You will engage with diverse content, ensuring that complex technical information is conveyed clearly and effectively across languages. Your role requires careful attention to detail and a commitment to maintaining the integrity of the original material while adapting it for different audiences. Collaboration with project teams and stakeholders is a key part of your daily activities, supporting seamless communication and understanding within technology initiatives.
Roles & Responsibilities:
- Expected to perform independently and become an SME.
- Required active participation/contribution in team discussions.
- Contribute in providing solutions to work related problems.
- Maintain high standards of accuracy and consistency in all translation outputs.
- Collaborate with project managers and technical experts to clarify terminology and context.
- Review and proofread translated materials to ensure quality and adherence to project requirements.
- Assist junior team members by providing guidance and support in translation tasks.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Dutch Language.
- Strong command of linguistic nuances and cultural context to ensure appropriate translation.
- Experience with technical terminology related to technology programs and projects.
- Ability to manage multiple translation assignments while meeting deadlines.
- Familiarity with translation tools and software to enhance productivity and consistency.
- Excellent written and verbal communication skills to facilitate collaboration and feedback.
Additional Information:
- The candidate should have minimum 3 years of experience in Dutch Language.
- This position is based at our Pune office.
- A 15 years full time education is required."
Responsibilities
As a Translator, your typical day involves delivering precise and accurate technical translation services tailored to various technology programs and projects. You will engage with diverse content, ensuring that complex technical information is conveyed clearly and effectively across languages. Your role requires careful attention to detail and a commitment to maintaining the integrity of the original material while adapting it for different audiences. Collaboration with project teams and stakeholders is a key part of your daily activities, supporting seamless communication and understanding within technology initiatives.
Roles & Responsibilities:
- Expected to perform independently and become an SME.
- Required active participation/contribution in team discussions.
- Contribute in providing solutions to work related problems.
- Maintain high standards of accuracy and consistency in all translation outputs.
- Collaborate with project managers and technical experts to clarify terminology and context.
- Review and proofread translated materials to ensure quality and adherence to project requirements.
- Assist junior team members by providing guidance and support in translation tasks.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Dutch Language.
- Strong command of linguistic nuances and cultural context to ensure appropriate translation.
- Experience with technical terminology related to technology programs and projects.
- Ability to manage multiple translation assignments while meeting deadlines.
- Familiarity with translation tools and software to enhance productivity and consistency.
- Excellent written and verbal communication skills to facilitate collaboration and feedback.
Additional Information:
- The candidate should have minimum 3 years of experience in Dutch Language.
- This position is based at our Pune office.
- A 15 years full time education is required."
Salary : Rs. 0.0 - Rs. 1,46,000.0
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
