Senior MLOps Engineer
Job Summary
Working remotely, the full-time Senior MLOps Engineer will build a production-grade ML platform for a large-scale AdTech ecosystem, focusing on scalable ML orchestration, model lifecycle automation, and real-time optimization workflows.
Key responsibilities
- Contribute to the development of scalable ML orchestration and automated model lifecycle management
- Implement observability practices and optimize workflows for real-time decision-making systems
- Collaborate with engineering teams to influence architecture decisions and ensure reliable ML system delivery
Required qualifications
- Expertise in Python and strong experience with Kubernetes and Docker
- Proficient in MLOps practices and familiar with GCP or AWS
- Strong understanding of CI/CD processes tailored for machine learning
- Experience with ML tools such as Vertex AI, MLflow, and Kubeflow
- Background in building high-load systems within a production environment
Complete Job Description
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