Machine Learning Engineer Job Description
We are seeking a talented Machine Learning Engineer to join our growing AI team.
About the Role
As an ML Engineer, you will design, train, fine-tune, and deploy ML/LLM models that power autonomous exception resolution, anomaly detection, and explainable insights.
Key Responsibilities
* Design, Train, Fine-Tune, and Deploy Models: Develop and implement ML/LLM models for production using multiple LLM ecosystems like OpenAI GPT, Anthropic Claude, Google Gemini, and Meta LLaMA.
* RAG Pipelines: Build retrieval-augmented generation pipelines using vector databases and frameworks such as LangChain, LangGraph, and MCP.
* Prompt Engineering: Develop prompt engineering, optimization, and safety techniques for agentic LLM interactions.
* Data Collaboration: Collaborate with data engineering to maintain data pipelines for ML workloads.
* Feature Engineering: Conduct feature engineering and embeddings generation on structured and unstructured data.
* Model Monitoring: Implement model monitoring, drift detection, and retraining pipelines.
* Emerging Technologies: Explore emerging LLM/SLM architectures and multi-agent orchestration patterns.
* Cross-Functional Collaboration: Collaborate cross-functionally with R&D, data science, product, and engineering teams.
* Mentorship: Mentor junior engineers and contribute to best practices in ML engineering.