MLOps Engineer

Senior MLOps Engineer

We are seeking a Senior MLOps Engineer

with proven experience in building and scaling machine learning operations in production environments. The ideal candidate must have strong hands-on expertise with Databricks and MLflow, as these are core requirements for the role.

• Build, automate, and maintain end-to-end ML pipelines
• Deploy, monitor, and optimize machine learning models in production
• Manage experiment tracking, model registry, and lifecycle workflows using MLflow
• Collaborate with data scientists, data engineers, and software teams to productionize ML solutions
• Improve the reliability, scalability, and governance of ML platforms

• 5+ years of experience in MLOps, Machine Learning Engineering, or similar roles
• Mandatory hands-on experience with Databricks and MLflow
• Strong Python skills and experience working with cloud-based environments
• Solid understanding of CI/CD, automation, model deployment, and monitoring
• Ability to work cross-functionally and communicate clearly with technical and non-technical stakeholders
• Experience with orchestration and infrastructure tools such as Airflow, Docker, Kubernetes, or Terraform
• Familiarity with AWS, Azure, or GCP