Unlock the Power of Machine Learning
As a seasoned ML Engineer, you will drive the design, training, and deployment of cutting-edge ML models that empower autonomous exception resolution, anomaly detection, and data-driven insights.
Key Responsibilities:
* Develop and deploy sophisticated ML/LLM models for production environments.
* Design and implement RAG pipelines using vector databases and frameworks such as LangChain, LangGraph, and MCP.
* Optimize prompt engineering, model safety, and explainability techniques for seamless LLM interactions.
* Collaborate with cross-functional teams to maintain high-quality data pipelines for ML workloads.
* Conduct thorough feature engineering and embeddings generation on structured and unstructured data sources.
* Implement comprehensive model monitoring, drift detection, and retraining pipelines.
* Explore emerging trends in LLM/SLM architectures and multi-agent orchestration patterns.
* Mentor junior engineers and contribute to best practices in ML engineering disciplines.