Mid-Senior MLOps Engineer

Compare your skills with our requirements

We are hiring an experienced and systems-oriented MLOps Engineer to build infrastructure for our AI-driven multi-agent recommendation platform. You will manage the lifecycle of ML models and agents to ensure experimentation, deployment, and scalability.

Must-have

Bachelor’s or Master’s in CS, ML Engineering, or a related field.
3+ years of experience in MLOps or ML platform engineering.
Proficiency in Python and infrastructure-as-code tools.
Experience with Docker, Kubernetes, and cloud ML platforms.
Deep knowledge of CI/CD for ML workflows.
Familiarity with model tracking and serving frameworks.

Is a plus

Experience supporting modular AI agent architectures.
Knowledge of distributed frameworks like Ray or Dask.
Understanding of secure ML infrastructure.
Experience with model lifecycle, retraining, and versioning.

What you will do

Design infrastructure for modular ML components.
Build CI/CD pipelines for model deployment.
Set up observability and experiment tracking.
Manage model artifacts and metadata securely.
Develop orchestration using Airflow, Kubernetes, or Prefect.
Collaborate across engineering teams for model scaling.

The Mid-Senior MLOps Engineer position is archived.

We appreciate your interest in joining Hatom. However, this position is no longer accepting new applications as it has been archived. Please explore our other open roles or check back soon for future opportunities.