Associate - Business Analyst-Data Engineering-Cloud Data Engineering

About the role

This role seeks an Associate Business Analyst in Data Engineering and Cloud Data Engineering at EXL. The candidate will collaborate with data scientists to troubleshoot ML model execution challenges, propose solution architectures, and implement MLOps tools such as FEAST, model registry, GUROBI, and real‑time serving. Proficiency in Python, Kubernetes, Docker, and cloud platforms (Azure, GCP) is essential, along with strong problem‑solving, multitasking, and design‑pattern knowledge. The position requires hands‑on experience with ML platforms like Kubeflow, VertexAI, and frameworks such as XGBoost, PyTorch, and TensorFlow, as well as SQL expertise. Preferred certifications include CKA and CKAD. The role is hybrid, based in Noida, India, and involves working closely with cross‑functional teams to deliver scalable data solutions.

What you’ll do

• Collaborate with data scientists to resolve ML model execution challenges.
• Suggest solution architectures for MLOps challenges.
• Implement and optimize Kubernetes and Docker containers.
• Utilize Azure/GCP cloud services for ML workloads.
• Apply best practices in machine learning and data engineering.

What you’ll bring

• Collaborate with data scientists on ML model execution challenges.
• Experience with MLOps tools: FEAST, model registry, GUROBI, real-time serving.
• Preferred: CKA, CKAD certifications.
• Knowledge of Kubeflow, VertexAI, XGBoost, PyTorch, TensorFlow.
• Hands‑on SQL expertise.

Skills

Education

Bachelor's Degree