ML Operations Engineer

Refine • New York City, NY

7d

About The Position

We are seeking a Machine Learning Operations (ML Ops) Engineer to join our team. This role will be crucial in scaling and maintaining the ML infrastructure that powers Refine’s multimodal search engine and recommendation systems.

Requirements

• Proven experience with ML Ops practices, including MLflow, Kubeflow, or similar platforms.
• Deep familiarity with Python, TensorFlow, PyTorch, or similar frameworks.
• Strong experience with cloud infrastructure (AWS, GCP preferred).
• Background in CI/CD and containerization (Docker, Kubernetes).

Nice To Haves

• Familiarity with large language models and vector databases is a plus.

Responsibilities

• Design, implement, and manage scalable ML pipelines for model training, deployment, and monitoring.
• Automate data preprocessing, feature engineering, and model validation workflows.
• Collaborate with data scientists and backend engineers to productionize ML models.
• Ensure the reliability, security, and efficiency of ML infrastructure.
• Optimize performance across training and inference pipelines.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed