
AI/ML Specialist
3 days ago
Roles and Responsibilities:
- Working along with the Business Analyst, testing teams and coordinating for smooth delivery aligned with business requirements
- Design, develop, and deploy advanced AI/ML models across NLP, Computer Vision, and Generative AI projects.
- Research and implement GenAI applications using Azure OpenAI, MS Copilot Studio, Azure AI Foundry, and Azure Cognitive Services.
- Build agentic AI systems using frameworks like MS Autogen, LangChain, and Semantic Kernel for autonomous workflows and task orchestration.
- Performing code optimization and identifying potential issues and defects.
- Adhere to industry standard best practices for AI/ML development, evaluation and deployment, ensuring maintainable, scalable, and secure solutions.
- Analyzing the technical & functional feasibility of new use cases which needs to be automated
- Working on test procedures and scenarios for the pre-UAT phases
- Implementing change requirements supporting a structured change control process
- Monitoring and working on solving issues on day-to-day basis for the solutions developed and deployed
- Working with Business Analyst and SME for feasibility analysis
- Attending meetings for the solution development and problems identified with the solution
- Capable of taking up complex challenges in AI/ML/GenAI domain
- Mentor and train fellow COE members to cross skill on AI/ML technologies
Knowledge and Skills Requirements:
- Agile mindset and team player.
- 5+ years of hands-on experience designing, developing, deploying, and maintaining AI/ML and Data Science solutions.
- Good to have experience in designing, developing, deploying and supporting UI/UX/Front end for the AI/ML solutions.
- Solid experience in Python with libraries such as TensorFlow, Keras, PyTorch, Scikit-learn, Hugging Face Transformers, SpaCy, and OpenCV.
- Proven expertise in GenAI and Agentic AI using frameworks like MS Autogen, LangChain, Semantic Kernel, and prompt engineering techniques.
- Strong experience with RAG pipelines, vector stores (e.g., Azure Cognitive Search,), and enterprise knowledge base integration.
- Proficient in Azure AI ecosystem: Azure Cognitive Services (Language, Vision, Speech), Azure Machine Learning, Azure AI Foundry, and Azure DevOps.
- Familiar with Git for version control and collaborative development.
- Strong knowledge and experience using LLM models.
- Hands on experience in designing, developing, and consuming SOAP/REST APIs
- Experience with Lean / Agile development methodologies.
- Capable of delivering on multiple competing priorities with little supervision
- Good verbal and written communication skills
- Willing to work in 24/7 shifts.
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