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Key ResponsiKey Responsibilities A total of 5+ yrs of exp in ML Ops Platform support role Develop and maintain CI/CD pipelines for ML models Automate model deployment, monitoring, and performance tracking Collaborate with data scientists to ensure models are production-ready Implement tools for model versioning, testing, and validation Ensure compliance with data governance and security standards Optimize ML workflows for scalability and cost-efficiency Troubleshoot and resolve issues related to model performance and infrastructure Stay updated with the latest MLOps tools and best practices Support continuous improvement by identifying and solving opportunities Bachelor or Master degree in Computer Science, Data Science, or related field years of experience in MLOps, DevOps, or related roles Strong programming skills in Python; familiarity with ML frameworks like TensorFlow, PyTorch, or Scikit-learn Knowledge on Sagemaker, Shakudo Experience with cloud platforms (AWS, Azure, GCP Proficiency in containerization (Docker) and orchestration (Kubernetes Knowledge of CI/CD tools (e.g., Jenkins, GitHub Actions Familiarity with monitoring tools (Prometheus, Grafana Excellent problem-solving and communication skills.Mandatory SkillsPythonSQLMachine Learning .