Machine Learning Engineer – LLM / MLOps

About the Opportunity:

An exciting role for an ML Engineer to build scalable ML systems, deploy models, and work with cutting-edge AI technologies including LLMs and RAG architectures.

Key Responsibilities:

• Build, train, and deploy ML models at scale
• Develop reusable pipelines using Databricks and MLflow
• Implement CI/CD workflows for ML deployment
• Work with LLMs, RAG, and AI agent frameworks
• Monitor model performance, drift, and retraining cycles

Required Skills:

• 5+ years of ML Engineering experience
• Strong Python programming and ML frameworks (PyTorch, TensorFlow, Scikit-learn)
• Hands-on experience with Databricks, MLflow, PySpark
• Experience with AWS (S3, SageMaker, Lambda, etc.)
• Strong understanding of MLOps and model lifecycle

Preferred:

• Experience building AI-driven applications (Streamlit, Gradio)
• Strong system design and data pipeline experience
• Business understanding of AI applications

Clearance: Public Trust (or eligible)