Associate - Business Analyst-Data Engineering-Cloud Data Engineering

• 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.