Senior ML Engineer

KPI Partners; Bengaluru; On-site; INR 2,600,000 - 4,800,000; Full time

Job summary

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 innovative solutions that drive business insights and enhance operational efficiency.

You will own production ML workflows on Azure, manage deployments with the Python SDK and CLI, implement monitoring and drift alerts, and collaborate with data engineers to deliver scalable, robust AI solutions.

Qualifications

• Extensive ML engineering and MLOps experience including production ownership of deployed models.
• Hands-on expertise with Azure Machine Learning: workspace, compute, environments, datastores, model registry and endpoints.
• Proficient with Azure ML Python SDK and Azure ML CLI for jobs, components, pipelines and deployment YAML.
• Experience with Git-based branching, CI/CD and reproducible ML workflows.
• Experience with feature stores and model monitoring in production.

Skills

ML engineering

MLOps

Python

CI/CD concepts

Model monitoring

Tools

Azure Machine Learning

Azure Storage

Key Vault

Container Registry

GitHub Actions

Terraform

Apache Airflow

Docker

Azure ML Python SDK

Azure ML CLI

Job description

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 innovative solutions that drive business insights and enhance operational efficiency.

Experience required

• Extensive knowledge in ML engineering / MLOps, including production
  ownership of deployed models.
• Strong, 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 professional growth.