Role & responsibilities

• AI/ML Engineer with hands-on experience in building, training, and deploying machine learning models across NLP, computer vision, and classical ML domains.
• Proficient in Python and have a solid understanding of NLP concepts, Rest APIs and scalable AI system design.
• Strong foundational knowledge in building LLM-powered applications using Lang Chain, Azure OpenAI, BOT Framework SDK and FAISS vector databases.
• Familiar with tools such as Azure Blob storage, Cosmos DB and GPT based vision models for processing documents and images.
• Excellence in analytical thinking, adaptability and a strong commitment to building AI solutions that are scalable, interpretable, and impactful.
• Strong understanding of software engineering principles, architecture, and best practices.
• Experience in end-to-end software project delivery, from conception to deployment.
• Must have experience with Python, Node.js/ React js, SQL , Generative AI or machine learning models.
• Frameworks: Lang Chain, Lang graph, Django, Streamlit, Flask.
• Models: GPT-4.0, Docker, Kubernetes, Knowledge of serverless architectures.
• Good to have Experience integrating Generative AI or machine learning models into applications. Retrieval-Augmented Generation (RAG), Prompt Engineering