About the Role
As a seasoned Machine Learning Engineer, you will design, train, fine-tune and deploy ML/LLM models that drive AI innovation.
This position requires expertise in designing, training, fine-tuning, and deploying ML/LLM models for production. You will also be responsible for building RAG pipelines using vector databases and frameworks such as LangChain, LangGraph, and MCP.
* Create complex ML/LLM models for autonomous exception resolution, anomaly detection, and explainable insights.
* Develop prompt engineering, optimization, and safety techniques for agentic LLM interactions.
You are expected to have strong Python skills and experience with PyTorch, TensorFlow, Scikit-Learn, Hugging Face Transformers.
Familiarity with at least two of the following: OpenAI GPT, Anthropic Claude, Google Gemini, Meta LLaMA is required.