Senior Machine Learning Engineer - job 3 of 6

Job Summary

A company is looking for a Senior Machine Learning Engineer with a strong ML Ops focus.

Key Responsibilities

• Build and support end-to-end ML pipelines for training, validation, deployment, and monitoring of traditional ML and LLM-based solutions
• Partner with data scientists to productionize models with a focus on reproducibility, observability, and runtime efficiency
• Manage ML infrastructure, including experiment tracking, model versioning, and deployment tooling

Key Qualifications

• 3+ years of experience developing and maintaining machine learning systems in production environments (Python, SQL)
• 1+ years experience supporting ML Ops infrastructure (model packaging, orchestration, observability, CI/CD)
• Hands-on experience with model lifecycle tools such as MLflow, SageMaker, or similar
• Familiarity with operationalizing LLMs or retrieval-augmented generation (RAG) systems
• Strong understanding of software engineering principles and writing maintainable, modular code