Description
Robust 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.
Robust problem-solving abilities with a capacity to quickly dive deep into issues and propose effective solutions.

Ability to manage multiple concurrent tasks and prioritize

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.

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.
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
Valuable Understanding of machine learning platforms such as Kubeflow and VertexAI, and frameworks such as XGBoost, PyTorch and TensorFlow.
hands-on expertise in SQL.

📌 Associate Business Analyst Data Engineering Cloud Data Engineering Noida (India)
🏢 EXL
📍 India