We are seeking an experienced MLOps Engineer to collaborate with data scientists and engineers in deploying and operationalizing advanced machine learning models. The ideal candidate will have expertise in building scalable ML pipelines, automating model workflows, and managing model lifecycle components using tools like MLFlow, Kubeflow, or DataRobot.

Key Responsibilities

• Automate and streamline ML model development and deployment processes.
• Build and manage tools for deployment, monitoring, and troubleshooting.
• Enable model tracking, experimentation, and continuous integration/delivery (CI/CD).
• Develop scalable, production-grade ML pipelines.
• Work with ML platforms (e.g., HopsWorks, Dataiku) on cloud (AWS, Azure, GCP) or on-prem environments.
• Support business development and delivery across domains.

Required Skills

• Big Data (Hadoop), Data Science, Machine Learning, MLOps, Hopsworks.

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