KPI Partners is seeking a talented and motivated Senior Machine Learning Engineer to join our dynamic team. In this role, you will leverage your expertise in machine learning and data science to develop cutting-edge solutions that drive business insights and enhance operational efficiency.

Experience required
• Extensive knowledge in ML engineering / MLOps, including production
ownership of deployed models.
• Robust, demonstrable expertise in Azure Machine Learning —
workspace administration, compute management, environments,
datastores and data assets, model registry, and online and batch
endpoint deployment.
• Hands-on expertise with the Azure ML Python SDK and the Azure ML
CLI, including authoring jobs, components, pipelines and deployment
YAML programmatically.
• Working knowledge of the wider Azure ecosystem: Azure Storage (Blob /
ADLS Gen2), Key Vault, Container Registry, Entra ID and managed
identities, Azure Monitor and Application Insights,



GitHub Actions for
CI/CD.
• Advanced Python — modular, tested, production-grade code;
packaging; comfort working in a shared repository.
• Docker and containerised model deployment; exposure to
infrastructure as code (Terraform).
• Practical experience with a workflow orchestrator — Apache
Airflow preferred.
• Experience with Git-based branching, code review and CI/CD for
machine learning workloads.
• Experience implementing model monitoring, drift detection and alerting
in production.
• Experience implementing Feature store.

KPI Partners offers a collaborative work environment and opportunities for qualified growth. If you are passionate about machine learning and eager to make an impact, we encourage you to apply and join our team.

📌 Senior Ml Engineer Bengaluru
🏢 KPI Partners
📍 Bengaluru