Senior Data Science Specialist

Job Summary

• MLOps / DevOps / CI-CD– Hands-on experience with** (MLOps), Jenkins, GitHub Actions**, and deployment pipelines. Exposure to AKS (Azure Kubernetes Service) is expected.

Azure Cloud Services– Strong working knowledge of Azure ecosystem, especially** AKS, storage, and monitoring setups**.

• AIML (Secondary Skill)– Experience in** recommendation systems and forecasting models** is good to have, along with any exposure to the** retail/e-commerce domain**.

• Agentic AI Tools– Practical usage of tools like** Copilot, Claude, or similar AI-assisted development tools**.

• Sustenance & Monitoring– Experience in** production support and incident management**, including tools like Service Now, Pager Duty (Watchtower or similar monitoring/alerting setups) is important.

Key Responsibilities

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Skill Requirements

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Other Requirements

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