Machine Learning Engineer

• Looking for AI ML Engineer
• Exp: 8+ Years
• Location: Hyderabad
• N.p: Immediate to 20 Days

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.