Senior MLOps Engineer

IF YOU ARE

• A holder of a master's degree in computer science or a related field
• Having 6+ years of relevant experience
• Hands‑on with Python and traditional Python data science and machine learning (DS/ML) stack
• An expert in ML solutions, design patterns, and operationalization
• Skilled with AI/ML and data engineering tools in any major cloud platform
• Familiar with setting up continuous integration, continuous delivery, and continuous testing (CI/CD/CT) pipelines for ML
• Well‑versed in Kubeflow, MLflow, or similar
• Competent with containers and container orchestration platforms (Kubernetes)
• Experienced with Databricks platform
• Experience working with healthcare data – it would be a plus
• Strong in requirements gathering and estimation
• Experienced with designing and building feature stores
• Knowledgeable of the Hadoop ecosystem and Apache Spark