Required talent with 4 to 6 years’ experience in understanding the technical requirements from customer, setting up and configuring new DEX tool (Nexthink).
As part of the steady state, maintain and enhance the DEX configurations and new features.
- Strong hands-on experience with Nexthink modules (Infinity, Amplify, Act, Engage, etc.).
- Proficiency in Nexthink Query Language (NQL) for data exploration and investigations.
- Should have knowledge in PowerShell scripting for custom Remote Actions.
- Automate workflows and monitoring tasks using PowerShell, NQL (Nexthink Query Language), Develop, test and release script to production use.
- Skilled in create and maintain custom dashboard.
- Create custom Campaign (Survey, Remote Action based, knowledge, etc.).
- Configuring Alerts, Application Experience, Amplify, Software metering and Workflow.
- Knowledge in Integrations with different tool (ITSM, ServiceNow, Chatbot and Intune).
- Identify automations (self-help / self-heal) use cases.
Responsibilities
Required talent with 4 to 6 years’ experience in understanding the technical requirements from customer, setting up and configuring new DEX tool (Nexthink).
As part of the steady state, maintain and enhance the DEX configurations and new features.
- Strong hands-on experience with Nexthink modules (Infinity, Amplify, Act, Engage, etc.).
- Proficiency in Nexthink Query Language (NQL) for data exploration and investigations.
- Should have knowledge in PowerShell scripting for custom Remote Actions.
- Automate workflows and monitoring tasks using PowerShell, NQL (Nexthink Query Language), Develop, test and release script to production use.
- Skilled in create and maintain custom dashboard.
- Create custom Campaign (Survey, Remote Action based, knowledge, etc.).
- Configuring Alerts, Application Experience, Amplify, Software metering and Workflow.
- Knowledge in Integrations with different tool (ITSM, ServiceNow, Chatbot and Intune).
- Identify automations (self-help / self-heal) use cases.
Salary : Rs. 0.0 - Rs. 1,00,000.0
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Development of API
• Application Development
• Azure DevOps: Creation of pipelines (CI/CD) & infrastructure as code (setup of cloud infrastructure),
ARM templates (Azure resource managers), & creation of monitoring dashboards
• Unit testing and documentation
• Secure development & provide input for security profile
Responsibilities
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Techno-functional data annotator - Data analyst - (25000NR0)
Missions
Document variation analysis:
Find all variations of a document format wise, file type wise and data parameter wise functionally
Create the statistical representation of this variation analysis and maintaining the same.
Maintaining the clusters golden data set for fine tuning, evaluation.
Understanding the document annotation usage in the various stages of AI model development.
Document Annotation :
Collaborate with Product Owner and Data Scientist to finalize the annotation methodology, parameter to be extracted from documents.
Provide timelines for completion of annotation.
Annotation should be performed diligently with >99% accuracy.
Follow up on the evaluation strategy and maintenance of golden dataset for document annotation, post processed data.
Secondary Responsibilities :
Presentation and Communication :
All document variation analysis should be presented.
Sample annotation progress should be tracked, maintained and presented.
Requirement Gathering :
Support PO in requirement gathering
Acculturate SG teams within business units and train users of our solutions.
Profile
Must be an engineering graduate or should be having commerce graduation.
Excellent with communication and presentation
Should be able to understand the documents functionally
While annotating, please make usage of functional/ domain knowledge to know what is being annotated and how will the same be used.
Should have capability to analyze data mathematically.
Responsibilities
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
As a Custom Software Engineer, you will engage in the development of custom software solutions that are designed to meet specific business needs. Your typical day will involve coding, enhancing components, and collaborating with team members to ensure the delivery of scalable and high-performing solutions. You will utilize modern frameworks and agile practices to create efficient applications that align with organizational goals, while also participating in discussions to refine project requirements and improve overall software quality.
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 requirements and translate them into technical specifications.
- Conduct code reviews to ensure adherence to best practices and maintain high-quality standards.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Selenium.
- Experience with automated testing frameworks and tools.
- Strong understanding of software development life cycle methodologies.
- Familiarity with version control systems such as Git.
- Ability to troubleshoot and debug complex software issues.
Additional Information:
- The candidate should have minimum 3 years of experience in Selenium.
- This position is based at our Pune office.
- A 15 years full time education is required.
Responsibilities
As a Custom Software Engineer, you will engage in the development of custom software solutions that are designed to meet specific business needs. Your typical day will involve coding, enhancing components, and collaborating with team members to ensure the delivery of scalable and high-performing solutions. You will utilize modern frameworks and agile practices to create efficient applications that align with organizational goals, while also participating in discussions to refine project requirements and improve overall software quality.
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 requirements and translate them into technical specifications.
- Conduct code reviews to ensure adherence to best practices and maintain high-quality standards.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Selenium.
- Experience with automated testing frameworks and tools.
- Strong understanding of software development life cycle methodologies.
- Familiarity with version control systems such as Git.
- Ability to troubleshoot and debug complex software issues.
Additional Information:
- The candidate should have minimum 3 years of experience in Selenium.
- This position is based at our Pune office.
- A 15 years full time education is required.
Salary : Rs. 0.0 - Rs. 1,30,000.0
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
SAP MM, SAP HANA, SAP MM Implementation
SAP MM, SAP HANA, SAP MM Implementation
Experience
6 to 8 Years
Location
Bengaluru
Job Description
S4 HANA MM consultant (Contract)
Mandatory Skills
SAP MM, S4HANA, SAP MM Implementation
Desirable Skills
SAP MM
Job Description
• Min 6 Years of experience in SAP MM
• Worked on S4 Hana – At least one project
• Good Knowledge on procurement cycle
• strong API & integration knowledge
• Pricing procedure
• Release procedure and flexible workflow
• Stock transport order
• Movement types
• Automatic account determination
• Inventory management
• Good Knowledge on Interfaces – File mapping
• Good knowledge on IDOC
• MM and FI integration
• Subcontracting process
• Invoice verification
Role & Responsibility.
Facilitate the implementation and support of SAP MM area.
Perform detailed analysis of complex business process requirements and provide appropriate system solutions; identify, interpret, validate and document customer requirements
· Map client business requirements, processes and objectives; develops necessary product modifications to satisfy clients' needs.
· Design, customize, configure and testing of MM · Identify gaps, issues and work around solutions.
· Act as liaison with client for troubleshooting: investigate, analyse, and solve software problems
· Handle changes or emergency transports as needed for high priority issues; · Document functional designs, test cases and results.
· Proactively identify and propose business process and/or system enhancements]
· Provide support on both new implementations and existing support projects
· Work self-directed and independently; may act as subject matter mentor to more junior members Desired Skills & Experience
· Ability to understand business processes from a customer perspective.
· Ability to work in a team environment, effectively interacting with others
· Must be results oriented, and demonstrate a Can-do attitude – adaptability, flexibility and resourcefulness Experience of working for Japanese customers is an added advantage
Should be willing for short term travel to Japan based on requirement
Skills: SAP ERP Materials Management (MM)
Experience Required: 8-10
Responsibilities
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
• Specialist Software Engineer - Python, Elastic (ID: 25000OID)
• Location : Bangalore
• Total experiences :- 4 to 7 years relevant
• Skills must : Python, + DevOps Elastic search, Druid
Job Summary:
We are seeking a highly skilled and motivated Specialist Software Engineer with deep expertise in Big Data technologies, data pipeline orchestration, and observability tooling. The ideal candidate will be responsible for designing, developing, and maintaining scalable data processing systems and integrating observability solutions to ensure system reliability and performance.
________________________________________
Key Responsibilities:
Big Data Engineering:
• Design and implement robust data pipelines using Apache Kafka, Apache NiFi, Apache Spark, and Sqoop.
• Manage and optimize distributed data storage systems including Hadoop, HDFS, Druid, and ElasticSearch.
• Integrate and maintain data visualization and monitoring tools like Kibana, Grafana, and Logstash.
• Ensure efficient data ingestion, transformation, and delivery across various platforms.
Programming & Scripting:
• Develop automation scripts and data processing utilities using Python 3 and Shell scripting.
• Build reusable components and libraries for data manipulation and system integration.
Observability & Monitoring:
• Implement and configure observability agents such as Fluentd, Telegraf, and Logstash.
• Collaborate with platform teams to integrate OpenTelemetry for distributed tracing and metrics collection (good to have).
• Maintain dashboards and alerts for system health and performance monitoring.
DevOps & CI/CD:
• Contribute to CI/CD pipeline development using GitHub Actions.
• Collaborate with DevOps teams to ensure seamless deployment and integration of data services.
Collaboration & Documentation:
• Work closely with cross-functional teams including data scientists, platform engineers, and product managers.
• Document system architecture, data flows, and operational procedures.
• Participate in code reviews, knowledge sharing sessions, and technical mentoring.
________________________________________
Required Skills & Qualifications:
• Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field.
• 5+ years of experience in Big Data engineering and scripting.
• Strong hands-on experience with:
o Kafka, NiFi, Hadoop, HDFS, Spark, Sqoop
o ElasticSearch, Druid, Kibana, Grafana
o Python3, Shell scripting
o Logstash, Fluentd, Telegraf
• Familiarity with GitHub Actions and basic DevOps practices.
• Exposure to OpenTelemetry is a plus.
• Excellent problem-solving, analytical, and communication skills.
________________________________________
Preferred Qualifications:
• Experience in building real-time data streaming applications.
• Knowledge of data governance, security, and compliance in Big Data environments.
• Certifications in Big Data technologies or cloud platforms (AWS/GCP/Azure) are a plus.
Environment
At Societe Generale, we are convinced that people are drivers of change, and that the world of tomorrow will be shaped by all their initiatives, from the smallest to the most ambitious.
Whether you’re joining us for a period of months, years or your entire career, together we can have a positive impact on the future. Creating, daring, innovating and taking action are part of our DNA.
If you too want to be directly involved, grow in a stimulating and caring environment, feel useful on a daily basis and develop or strengthen your expertise, you will feel right at home with us!
Still hesitating?You should know that our employees can dedicate several days per year to solidarity actions during their working hours, including sponsoring people struggling with their orientation or professional integration, participating in the financial education of young apprentices, and sharing their skills with charities. There are many ways to get involved.
We are committed to support accelerating our Group’s ESG strategy by implementing ESG principles in all our activities and policies. They are translated in our business activity (ESG assessment, reporting, project management or IT activities), our work environment and in our responsible practices for environment protection.
Responsibilities
Please check years of experience as per JD and requirement
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Role Category :Programming & Design
Role :Specialist Software Engineer - Python, Elastic
• Lead Software Engineer - Azure DevOps (ID: 25000CK5) (L3)
• Location :- Chennai & Bangalore
• Total experience :- 6 to 10 relevant experiences
• Technical and Technical round (Paris team )managerial round ( Face to Face)
• Key Skills :- Python developer (Core developer) with Azure/AWS public cloud skill, secondary skill : SQL DB and role-based access control
Responsibilities:
Position Overview: We are seeking a talented Public Cloud Developer to join our Azure Public Cloud team. The ideal candidate will be highly skilled in Python as a primary programming language and possess strong expertise in Azure, with a solid understanding of AWS as a secondary platform. Proficiency in Infrastructure as Code (IaC) is essential, as it is our primary approach to infrastructure management.
Key Responsibilities:
· Python Development:
o API development hands on knowledge is essential, along with a commitment to continuous learning.
o Strong proficiency in Python, including writing clean and maintainable code.
o Skilled in software development life cycle practices, testing and debugging, and version control.
Familiarity with database management ( SQL DB)
· Azure Management: (A very strong Python developer with AWS knowledge is also ok)
o Create and manage resources, including virtual machines and networking components.
o Deploy, configure, and manage Azure services efficiently.
o Handle and manage reverse proxy configurations to ensure effective routing and load balancing.
o Familiarize with network activities, including VNet configurations, Network Security Groups (NSGs), and Azure Firewall.
· Continuous Integration/Continuous Deployment (CI/CD):
o Develop and maintain CI/CD pipelines using GitHub Actions, including YAML configuration files.
o Implement complete CI/CD solutions to streamline development and deployment processes.
Profile Required and Qualifications:
• 6 -12 years of experience
• Strong proficiency in Python, with a solid understanding of software development best practices.
• Proven experience with Azure/AWS, including hands-on skills in managing cloud resources and services.
• Solid understanding of CI/CD practices and experience in implementing CI/CD solutions.
• Proven track record of successful experiences in production within cloud environments.
• Excellent written and verbal communication skills, with the ability to collaborate effectively within a distributed, cross-country team.
• SQL DB knowledge to maintain records and tables.
Responsibilities
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
AI/ML Solution Architecture & Development:
• Design and implement end-to-end AI/ML solutions, ensuring scalability, performance, and alignment with business objectives.
• Design and implement end-to-end RAG (Retrieval-Augmented Generation) systems with optimized knowledge retrieval
• Architect Agentic AI workflows using frameworks like LangChain, LlamaIndex, and AutoGen
• Develop multi-agent systems with specialized roles and orchestration capabilities
• Implement dynamic routing and decision-making logic for agent networks
• Architect and implement RAG (Retrieval-Augmented Generation) systems for knowledge-intensive applications
• Design and optimize document processing pipelines including advanced chunking strategies and metadata extraction
• Develop and fine-tune LLMs for domain-specific applications
• Architect and optimize AI pipelines, including data ingestion, preprocessing, model training, and deployment.
• Lead the integration of Generative AI (GenAI) technologies into existing workflows to enhance automation and decision-making.
Technical Leadership & Innovation:
• Provide technical guidance and mentorship to AI/ML teams, fostering a culture of innovation and excellence.
• Stay abreast of the latest advancements in AI/ML and GenAI, evaluating and adopting cutting-edge technologies as appropriate.
• Collaborate with cross-functional teams to align AI initiatives with business goals.
Code Quality & Engineering Best Practices:
• Enforce high standards of code quality, maintainability, and scalability in AI/ML implementations.
• Conduct and oversee code reviews to ensure adherence to best practices and architectural guidelines.
• Implement robust testing frameworks, including unit tests, integration tests, and system tests, to validate AI models and pipelines.
• Lead the evaluation and selection of appropriate embedding models for specific use cases
• Design optimal chunking strategies for different document types (PDFs, HTML, plain text)
• Establish best practices for vector database implementation and optimization
• Mentor junior engineers in RAG implementation and document processing techniques
Evaluation Methods & Performance Metrics:
• Define and implement comprehensive evaluation methodologies to assess model performance ensuring all metrics met.
• Monitor and analyze model performance during pre-release testing and post-release phases to identify and address defects.
• Establish metrics and KPIs to measure the effectiveness and reliability of AI solutions in production.
Defect Management & Post-Release Monitoring:
• Develop strategies for defect prevention, detection, and resolution throughout the AI/ML development lifecycle.
• Lead root cause analysis for post-release defects and implement corrective actions to prevent recurrence.
• Work closely with DevOps and QA teams to ensure seamless deployment and monitoring of AI models in production.
Hiring & Team Development:
• Lead the recruitment process for AI/ML talent, identifying and hiring skilled professionals to build high-performing teams.
• Develop and implement strategies for team growth, including training programs and career development plans.
Required Skills & Qualifications:
• Technical Expertise:
o 5-10 years of experience in AI/ML, with a strong focus on architecting and deploying AI solutions.
o Deep knowledge of machine learning, deep learning, and NLP, with proficiency in Python and frameworks like PyTorch, TensorFlow, or Hugging Face.
o Experience with cloud platforms and MLOps practices for model deployment and monitoring.
• GenAI Experience:
o Hands-on experience with LLMs, RAG pipelines, and AI agent frameworks.
o Familiarity with vector databases (e.g., Melvis, Pinecone, Weaviate) and graph databases.
• Code Quality & Testing:
o Strong understanding of software engineering principles, including code quality, testing, and CI/CD pipelines.
o Experience with testing frameworks and methodologies for AI/ML models.
• Evaluation & Defect Management:
o Proven ability to define and implement evaluation metrics and performance monitoring systems.
o Experience in defect management and root cause analysis for AI/ML systems.
• Leadership & Hiring:
o Proven ability to lead technical teams and hire top AI/ML talent.
o Strong communication and collaboration skills to work with stakeholders at all levels.
• Education:
o Bachelor’s/Master’s/PhD in Computer Science, Data Science, or a related field.
Preferred Qualifications:
• Experience in industries such as healthcare, finance, or manufacturing, where AI/ML solutions have been successfully deployed.
• Publications or contributions to the AI/ML community, such as research papers, open-source projects, or conference presentations.
Responsibilities
AI/ML Solution Architecture & Development:
• Design and implement end-to-end AI/ML solutions, ensuring scalability, performance, and alignment with business objectives.
• Design and implement end-to-end RAG (Retrieval-Augmented Generation) systems with optimized knowledge retrieval
• Architect Agentic AI workflows using frameworks like LangChain, LlamaIndex, and AutoGen
• Develop multi-agent systems with specialized roles and orchestration capabilities
• Implement dynamic routing and decision-making logic for agent networks
• Architect and implement RAG (Retrieval-Augmented Generation) systems for knowledge-intensive applications
• Design and optimize document processing pipelines including advanced chunking strategies and metadata extraction
• Develop and fine-tune LLMs for domain-specific applications
• Architect and optimize AI pipelines, including data ingestion, preprocessing, model training, and deployment.
• Lead the integration of Generative AI (GenAI) technologies into existing workflows to enhance automation and decision-making.
Technical Leadership & Innovation:
• Provide technical guidance and mentorship to AI/ML teams, fostering a culture of innovation and excellence.
• Stay abreast of the latest advancements in AI/ML and GenAI, evaluating and adopting cutting-edge technologies as appropriate.
• Collaborate with cross-functional teams to align AI initiatives with business goals.
Code Quality & Engineering Best Practices:
• Enforce high standards of code quality, maintainability, and scalability in AI/ML implementations.
• Conduct and oversee code reviews to ensure adherence to best practices and architectural guidelines.
• Implement robust testing frameworks, including unit tests, integration tests, and system tests, to validate AI models and pipelines.
• Lead the evaluation and selection of appropriate embedding models for specific use cases
• Design optimal chunking strategies for different document types (PDFs, HTML, plain text)
• Establish best practices for vector database implementation and optimization
• Mentor junior engineers in RAG implementation and document processing techniques
Evaluation Methods & Performance Metrics:
• Define and implement comprehensive evaluation methodologies to assess model performance ensuring all metrics met.
• Monitor and analyze model performance during pre-release testing and post-release phases to identify and address defects.
• Establish metrics and KPIs to measure the effectiveness and reliability of AI solutions in production.
Defect Management & Post-Release Monitoring:
• Develop strategies for defect prevention, detection, and resolution throughout the AI/ML development lifecycle.
• Lead root cause analysis for post-release defects and implement corrective actions to prevent recurrence.
• Work closely with DevOps and QA teams to ensure seamless deployment and monitoring of AI models in production.
Hiring & Team Development:
• Lead the recruitment process for AI/ML talent, identifying and hiring skilled professionals to build high-performing teams.
• Develop and implement strategies for team growth, including training programs and career development plans.
Required Skills & Qualifications:
• Technical Expertise:
o 5-10 years of experience in AI/ML, with a strong focus on architecting and deploying AI solutions.
o Deep knowledge of machine learning, deep learning, and NLP, with proficiency in Python and frameworks like PyTorch, TensorFlow, or Hugging Face.
o Experience with cloud platforms and MLOps practices for model deployment and monitoring.
• GenAI Experience:
o Hands-on experience with LLMs, RAG pipelines, and AI agent frameworks.
o Familiarity with vector databases (e.g., Melvis, Pinecone, Weaviate) and graph databases.
• Code Quality & Testing:
o Strong understanding of software engineering principles, including code quality, testing, and CI/CD pipelines.
o Experience with testing frameworks and methodologies for AI/ML models.
• Evaluation & Defect Management:
o Proven ability to define and implement evaluation metrics and performance monitoring systems.
o Experience in defect management and root cause analysis for AI/ML systems.
• Leadership & Hiring:
o Proven ability to lead technical teams and hire top AI/ML talent.
o Strong communication and collaboration skills to work with stakeholders at all levels.
• Education:
o Bachelor’s/Master’s/PhD in Computer Science, Data Science, or a related field.
Preferred Qualifications:
• Experience in industries such as healthcare, finance, or manufacturing, where AI/ML solutions have been successfully deployed.
• Publications or contributions to the AI/ML community, such as research papers, open-source projects, or conference presentations.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
