Senior MLOps Engineer

Senior MLOps Engineer

We are seeking a Senior MLOps Engineerwith 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.

What you will do

• 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

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