As a seasoned data scientist, you will be responsible for crafting innovative AI solutions that drive business outcomes.
The ideal candidate will have expertise in designing, training, and deploying machine learning models to power autonomous exception resolution, anomaly detection, and explainable insights.
Key Responsibilities:
* Develop RAG pipelines using vector databases and frameworks such as LangChain, LangGraph, and MCP.
* Design and implement prompt engineering, optimization, and safety techniques for agentic LLM interactions.
* Collaborate with data engineers to maintain data pipelines for ML workloads.
* Conduct feature engineering and embeddings generation on structured and unstructured data.
* Implement model monitoring, drift detection, and retraining pipelines.
Additionally, you will work closely with cross-functional teams to explore emerging LLM/SLM architectures and multi-agent orchestration patterns.