About the Role
We are seeking a talented Machine Learning Engineer to join our growing AI team.
As an ML Engineer on our team, you will design, train, fine-tune, and deploy ML/LLM models that power autonomous exception resolution, anomaly detection, and explainable insights. You'll work hands-on with multiple LLM ecosystems like OpenAI GPT, Anthropic Claude, Google Gemini, and Meta LLaMA.
You will implement retrieval-augmented generation (RAG) pipelines, develop prompt engineering and safety techniques, and integrate memory and explainability into agentic workflows.
* Design, train, fine-tune, and deploy ML/LLM models for production.
* Build RAG pipelines using vector databases and frameworks such as LangChain, LangGraph, and MCP.
* Develop prompt engineering, optimization, and safety techniques for agentic LLM interactions.
* Collaborate with data engineering 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.
* Explore emerging LLM/SLM architectures and multi-agent orchestration patterns.
* Collaborate cross-functionally with R&D, data science, product, and engineering teams.
* Mentor junior engineers and contribute to best practices in ML engineering.