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Job Description

AI / ML Specialist

Exp : 7+ yrs

Location : Aziro Bangalore

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.

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