• Strong hands-on programming skills in Python with multiple design patterns. • Strong hands-on expertise in Kubernetes and Docker, having ability to build and optimize container images. • Experience with Azure/GCP cloud platform, machine learning services and best practices. • Strong problem-solving abilities with a capacity to quickly dive deep into issues and propose effective solutions. Ability to manage multiple concurrent tasks and prioritize • Experience in collaborating with data scientist to solve ML model execution related challenges, and able to suggest different solution architecture for overcoming the challenges. • Experience with machine learning tools among phases in MLOps life cycle such as feature store (FEAST), model registry, problem optimizer (GUROBI) or real-time model serving. • Preferred Certifications: • CKA – Certified Kubernetes Administrator • CKAD – Certified Kubernetes Application Developer • Good Understanding of machine learning platforms such as Kubeflow and VertexAI, and frameworks such as XGBoost, PyTorch and TensorFlow. • hands-on expertise in SQL. • Experience in collaborating with data scientist to solve ML model execution related challenges, and able to suggest different solution architecture for overcoming the challenges. • Experience with machine learning tools among phases in MLOps life cycle such as feature store (FEAST), model registry, problem optimizer (GUROBI) or real-time model serving. • Preferred Certifications: • CKA – Certified Kubernetes Administrator • CKAD – Certified Kubernetes Application Developer • Good Understanding of machine learning platforms such as Kubeflow and VertexAI, and frameworks such as XGBoost, PyTorch and TensorFlow. • hands-on expertise in SQL.