Senior AIML/ Data scientist Specialist-Bangalore -Aziro

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.
• 7+ 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.