AI/ML Specialist

3 weeks ago

Bengaluru, India MSys Technologies Full time

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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