Specifications: 

Designation: AL/ML Lead engineer with excellent communication Skills 

Qualifications: BE/MCA 

Experience: 7-10 Years 

Desired Skillset: 

• ML Frameworks: TensorFlow, PyTorch, Scikit-learn, XGBoost, LightGBM 

• GenAI & Agentic Tools: LangChain, LlamaIndex, Haystack, CrewAI, Autogen 

• LLMs & APIs: Hugging Face, OpenAI, Azure OpenAI, Cohere, Anthropic Claude, Gemini 

• Embeddings & Vectors: Sentence Transformers, FAISS, Pinecone, Azure Cosmos DB (Vector Search) 

• Infrastructure Tools: Docker, Kubernetes, MLflow, FastAPI/Flask, Git 

• Azure Machine Learning, Azure Functions, AKS, Blob Storage, Cosmos DB 

• CI/CD for ML 

• Experience integrating LLMs into enterprise workflows via APIs or agent frameworks. 

• Prior experience in data engineering is an add on. 

Roles and Responsibilities (please attach as annexure if space is not sufficient): 

• Work with team to build and create AI practice 

• Should have experience in managing shared resources. 

• Participate in requirements analysis. 

• Work with internal teams to obtain an in-depth understanding of the product or POC and the documentation requirements. 

• Produce high-quality documentation that meets applicable standards and is appropriate for its intended audience. 

• Write easy-to-understand user interface text, online help and developer guides. Create tutorials to help end-users use a variety of applications. 

• Analyze existing and potential content, focusing on reuse and single-sourcing opportunities. 

• Write clean, scalable code using .NET programming languages and create and maintain the information architecture. 

• Revise, update, refactor and debug code. Improve existing software. 

• Serve as an expert on applications and provide technical support.