Mobile App Developer [ Xamarin / .Net MAUI ] - Nishant Goel -
3 – 6 Years - DT893JP00009459
Description:
• 4–6 years of hands-on mobile application development experience
• Strong proficiency in: C# , Xamarin (Forms/Native) .NET MAUI
• Experience in Android and iOS platforms
• Strong understanding of:
MVVM architecture
REST API integration
Asynchronous programming
Local database (SQLite) and caching mechanisms
• Experience with Git and version control systems
Responsibilities
Mobile App Developer [ Xamarin / .Net MAUI ] - Nishant Goel -
3 – 6 Years - DT893JP00009459
Description:
• 4–6 years of hands-on mobile application development experience
• Strong proficiency in: C# , Xamarin (Forms/Native) .NET MAUI
• Experience in Android and iOS platforms
• Strong understanding of:
MVVM architecture
REST API integration
Asynchronous programming
Local database (SQLite) and caching mechanisms
• Experience with Git and version control systems
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
• Job Summary:
We are seeking a Data professional with 3 to 5 years of hands-on experience in analysing datasets and applying statistical and machine learning methods to support data-driven decisions. The ideal candidate will have strong working knowledge of Python, SQL, and Tableau, with experience applying advanced statistical and ML techniques to solve business problems, and exposure to cloud platforms like GCP and Azure is a plus. Experience with Dataiku is preferred. Strong communication skills and the ability to collaborate effectively with stakeholders, domain experts, and cross-functional teams are essential.
• Roles and Responsibilities
• Analyze datasets to identify trends, patterns, and insights that support business objectives. • Develop SQL queries to extract, transform, and manipulate data for analysis and modeling. • Apply machine learning and statistical methods to address moderately complex business problems. • Build and update dashboards and reports using Tableau. • Use Python for data processing, automation, and workflow-related tasks. • Work with Dataiku (preferred) to support data preparation workflows and analysis. • Collaborate with engineers, analysts, and domain experts to translate requirements into analytical deliverables. • Present analytical findings and model outputs to technical and non-technical stakeholders. • Identify opportunities to improve data workflows, model performance, and analytical processes. • Maintain clear documentation for datasets, workflows, and analytical approaches. • Stay current with new tools, methods, and trends in data science and applied analytics.
Responsibilities
• Required Skills
• B.E/B.Tech in Computer Science, Data Science, Information Systems, or a related field - advanced degree or certification is a plus. • 3–5 years of experience in a data science or applied analytics role. • Strong SQL skills for querying and manipulating datasets. • Proficiency in Python for data processing, modeling, automation scripts, and workflow tasks. • Experience with Dataiku is preferred (data workflows, preparation, and model implementation). • Working knowledge of Tableau dashboard development and visualization best practices. • Exposure to machine learning and GenAI tools is preferred • Exposure to cloud data platforms (GCP/BigQuery/ Azure) is a plus. • Familiarity with Git and basic CI/CD workflows is a plus. • Understanding ETL/ELT concepts and data quality best practices.
• Desired Skills:
• B.E/B.Tech in Computer Science, Data Science, Information Systems, or a related field - advanced degree or certification is a plus. • 3–5 years of experience in a data science or applied analytics role. • Strong SQL skills for querying and manipulating datasets. • Proficiency in Python for data processing, modeling, automation scripts, and workflow tasks. • Experience with Dataiku is preferred (data workflows, preparation, and model implementation). • Working knowledge of Tableau dashboard development and visualization best practices. • Exposure to machine learning and GenAI tools is preferred • Exposure to cloud data platforms (GCP/BigQuery/ Azure) is a plus. • Familiarity with Git and basic CI/CD workflows is a plus. • Understanding ETL/ELT concepts and data quality best practices.
• Soft Skills :
• Strong analytical and problem-solving skills. • Critical-thinking ability and structured approach to designing solutions. • Effective communication skills for both technical and non-technical audiences. • Ability to collaborate within a team while working independently when needed. • Strong attention to detail and ability to manage multiple priorities. • Initiative and commitment to delivering high-quality results. • Adaptability to evolving technologies and shifting business needs. • Customer-focused mindset with the ability to translate business needs into analytical solutions.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
• 2+ years of experience in cash application, accounts receivable, or a related finance/accounting role, ideally within shared services or multinational environments.
• Hands on exposure to ERP systems, particularly SAP ERP, familiarity with apply daily payments (Checks, EFT, Credit Cards) in SAP ERP and BillTrust or similar cash application tools is a distinct advantage.
• Thorough understanding of the Order to Cash (O2C) process, and awareness of the strategic role cash applications play in enhancing cash flow and AR accuracy.
• Expertise in key cash application concepts, including:
o Unapplied Cash
o Unidentified Cash
o Overpayment
o Short payment
o Cash on Account
• Ability to articulate and demonstrate core cash application scenarios with simple, real world examples, reflecting both conceptual clarity and practical insight.
Shift: 4:30 PM to 2:00 AM
WFO- Monday to Friday
Responsibilities
• 2+ years of experience in cash application, accounts receivable, or a related finance/accounting role, ideally within shared services or multinational environments.
• Hands on exposure to ERP systems, particularly SAP ERP, familiarity with apply daily payments (Checks, EFT, Credit Cards) in SAP ERP and BillTrust or similar cash application tools is a distinct advantage.
• Thorough understanding of the Order to Cash (O2C) process, and awareness of the strategic role cash applications play in enhancing cash flow and AR accuracy.
• Expertise in key cash application concepts, including:
o Unapplied Cash
o Unidentified Cash
o Overpayment
o Short payment
o Cash on Account
• Ability to articulate and demonstrate core cash application scenarios with simple, real world examples, reflecting both conceptual clarity and practical insight.
Shift: 4:30 PM to 2:00 AM
WFO- Monday to Friday
Salary : Rs. 20,000.0 - Rs. 25,000.0
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
· Develop AEM components, custom components, templates, workflows, and services using Java, Sling Models, HTL (formerly known as Sightly), and OSGi.
· Handson experience on AEM as a Cloud Service- AEMaaCS. Customize and extend AEM core functionality to implement custom solutions.
· Integrate AEM with backend services, databases using RESTful APIs
· Good exposure in Integrating AEM with multiple 3rd Party applications for eg. Salesforce CRM, Elastic Search, NewsBank.
· Collaborate with frontend developers to integrate frontend code with AEM components.
· Implement and maintain AEM security best practices and guidelines.
· Perform AEM system administration tasks, including installation, configuration, and maintenance.
· Ensure code quality, performance, and scalability of AEM applications
· Troubleshoot and debug AEM application issues.
· Stay updated on AEM platform updates, new features, and industry best practices.
· Mentor junior developers and participate in knowledge sharing sessions.
Responsibilities
· Develop AEM components, custom components, templates, workflows, and services using Java, Sling Models, HTL (formerly known as Sightly), and OSGi.
· Handson experience on AEM as a Cloud Service- AEMaaCS. Customize and extend AEM core functionality to implement custom solutions.
· Integrate AEM with backend services, databases using RESTful APIs
· Good exposure in Integrating AEM with multiple 3rd Party applications for eg. Salesforce CRM, Elastic Search, NewsBank.
· Collaborate with frontend developers to integrate frontend code with AEM components.
· Implement and maintain AEM security best practices and guidelines.
· Perform AEM system administration tasks, including installation, configuration, and maintenance.
· Ensure code quality, performance, and scalability of AEM applications
· Troubleshoot and debug AEM application issues.
· Stay updated on AEM platform updates, new features, and industry best practices.
· Mentor junior developers and participate in knowledge sharing sessions.
Salary : Rs. 0.0 - Rs. 1,00,000.0
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
AI Data Scientist who is highly skilled in Python, Large Language Models (LLMs), Orchestrator Frameworks, and Multi-Agent Systems to build scalable, enterprise-grade AI solutions. The ideal candidate is hands-on, can convert real-world business problems into AI-driven workflows, and is comfortable working across cloud platforms, especially Microsoft Azure.
Key Responsibilities
AI/ML & LLM Development
• Build, fine-tune, and optimize LLM-based applications using open-source and proprietary models.
• Implement prompt engineering, retrieval-augmented generation (RAG), and evaluation pipelines.
• Develop multi-agentic systems with logical coordination, communication flows, and tool integrations.
• Multi-Agent & Orchestration Frameworks
• Design AI workflows using LangChain, LlamaIndex, CrewAI, or equivalent orchestrator frameworks.
• Implement autonomous agents, tool-calling strategies, memory modules, and context management.
• Build scalable agent-to-agent communication pipelines for enterprise use cases.
Data Engineering & Applied Science
• Build robust data ingestion, processing, and feature engineering workflows in Python.
• Perform applied ML research and experimentation for structured, unstructured & multimodal data.
• Create data-driven insights, predictive models, and performance reports.
• Software Engineering & Version Control
• Use Git/GitHub for versioning, branching, reviews, CI/CD pipelines, and release management.
Cloud Services & Enterprise Deployment
• Develop and deploy AI services on Azure App Service, Azure Kubernetes Service (AKS), Azure Functions, Azure OpenAI, and Azure Storage.
• Work with scalable architectures: microservices, serverless, containerized (Docker) applications.
• Ensure enterprise-grade security, compliance, logging, monitoring, and observability.
AI Agents & Autonomous Workflows
• Design agent-based solutions for automation, RAG, decision-making, and workflow execution.
• Implement multi-agent architectures that utilize planning, reasoning, tool usage, and memory.
• Integrate agents with enterprise apps, APIs, Databricks, ADLS, n8n, or custom AI tools.
Responsibilities
AI Data Scientist who is highly skilled in Python, Large Language Models (LLMs), Orchestrator Frameworks, and Multi-Agent Systems to build scalable, enterprise-grade AI solutions. The ideal candidate is hands-on, can convert real-world business problems into AI-driven workflows, and is comfortable working across cloud platforms, especially Microsoft Azure.
Key Responsibilities
AI/ML & LLM Development
• Build, fine-tune, and optimize LLM-based applications using open-source and proprietary models.
• Implement prompt engineering, retrieval-augmented generation (RAG), and evaluation pipelines.
• Develop multi-agentic systems with logical coordination, communication flows, and tool integrations.
• Multi-Agent & Orchestration Frameworks
• Design AI workflows using LangChain, LlamaIndex, CrewAI, or equivalent orchestrator frameworks.
• Implement autonomous agents, tool-calling strategies, memory modules, and context management.
• Build scalable agent-to-agent communication pipelines for enterprise use cases.
Data Engineering & Applied Science
• Build robust data ingestion, processing, and feature engineering workflows in Python.
• Perform applied ML research and experimentation for structured, unstructured & multimodal data.
• Create data-driven insights, predictive models, and performance reports.
• Software Engineering & Version Control
• Use Git/GitHub for versioning, branching, reviews, CI/CD pipelines, and release management.
Cloud Services & Enterprise Deployment
• Develop and deploy AI services on Azure App Service, Azure Kubernetes Service (AKS), Azure Functions, Azure OpenAI, and Azure Storage.
• Work with scalable architectures: microservices, serverless, containerized (Docker) applications.
• Ensure enterprise-grade security, compliance, logging, monitoring, and observability.
AI Agents & Autonomous Workflows
• Design agent-based solutions for automation, RAG, decision-making, and workflow execution.
• Implement multi-agent architectures that utilize planning, reasoning, tool usage, and memory.
• Integrate agents with enterprise apps, APIs, Databricks, ADLS, n8n, or custom AI tools.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Security Operations combined with fundamental knowledge preferred. API Integration is good to have.Service Now hands on experience in Integration with Java Scripting and Flow designing are non-negotiable.
Responsibilities
Security Operations combined with fundamental knowledge preferred. API Integration is good to have.Service Now hands on experience in Integration with Java Scripting and Flow designing are non-negotiable.
Salary : Rs. 1,34,000.0 - Rs. 3,02,400.0
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
