Senior MLOps Engineer
Job Summary
To build a production-grade ML platform for a large-scale AdTech ecosystem, the remote Senior MLOps Engineer will manage scalable ML orchestration, model lifecycle automation, and real-time optimization workflows while collaborating with a dedicated engineering team.
Key responsibilities
- Develop and maintain scalable ML orchestration and model lifecycle automation
- Implement observability and real-time optimization workflows for high-load environments
- Collaborate with team members to influence architecture decisions and improve platform performance
Required qualifications
- Expertise in Python and strong experience with Kubernetes and Docker
- Proficient in MLOps practices with a solid understanding of GCP and AWS
- Strong knowledge of CI/CD processes tailored for machine learning applications
- Experience in building and maintaining production-grade ML infrastructure
- Familiarity with tools such as MLflow, Airflow, and Kubeflow
Complete Job Description
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