- 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.
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.
Job description provided by EXL Service.
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