About the Role
We are seeking a talented Machine Learning Engineer to design, train, fine-tune and deploy ML/LLM models that power autonomous exception resolution, anomaly detection, and explainable insights.
* 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.
Key Responsibilities
The ideal candidate will collaborate with data engineering teams to maintain data pipelines for ML workloads. They will 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.
Required Skills and Qualifications
* Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning or related field.
* 3+ years building and deploying ML systems.
* English advance (B2).