Altysys - MLOps Engineer

We are looking for a skilled and proactive MLOps Engineer with 5+ years of experience to join our remote team.

Experience : 5+ Years.

Location : Remote.

Employment Type : Full-Time.

The ideal candidate will be responsible for building and maintaining robust ML infrastructure and pipelines using AWS services, version control tools, and infrastructure-as-code.

Key Responsibilities :

- Design, build, and maintain scalable and reliable ML infrastructure on AWS.

- Deploy and manage machine learning models using AWS SageMaker.

- Integrate and manage data cataloging and governance using AWS DataZone.

- Implement and maintain end-to-end ML lifecycle management with MLflow.

- Automate deployment pipelines using GitLab CI/CD for model training and inference.

- Develop and manage infrastructure using AWS CDK (Cloud Development Kit).

- Ensure model reproducibility, traceability, and performance monitoring in production.

- Collaborate closely with data scientists, ML engineers, and DevOps teams.

Required Skills :

- Strong hands-on experience with AWS SageMaker, AWS DataZone, and MLflow.

- Proficiency in GitLab CI/CD pipelines and version control.

- Experience with AWS CDK for infrastructure provisioning.

- Good understanding of the ML lifecycle : data prep, model training, testing, deployment, and monitoring.

- Strong programming skills in Python or Bash.

- Experience with containerization (e.g., Docker) is a plus.

- Excellent problem-solving and collaboration skills.