oracle
Associate - Business Analyst-Data Engineering-Cloud Data Engineering
EXL
Noida, IND
Mid
Hybrid
Discovered 2 weeks ago
azuredockergcpkubeflowkubernetespython
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azuredockergcp
About the Role
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
Key Skills for This Role
azuredockergcpkubeflowkubernetespython
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Responsibilities
- 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.
Qualifications
- Experience in collaborating with data scientist to solve ML model execution related challenges, and able to suggest different solution architecture for overcoming the challenges.
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