Snowflake & ML Operations Engineer

2 weeks ago

Bengaluru, Karnataka, India Mynd Full time US$ 90,000 - US$ 1,20,000 per year

Responsibilities:

  • Provide L2/L3 support for machine learning operations and Snowflake platform workflows during India business hours.
  • Monitor and troubleshoot issues related to ML model deployment, batch/real-time inference pipelines, and data workflows.
  • Support Snowflake DevOps operations, including warehouse monitoring, job scheduling, query performance tuning, and access control.
  • Ensure reliability of data ingestion and transformation pipelines built on Matillion, Fivetran, and Snowpipe.
  • Support and enhance CI/CD pipelines for ML model packaging, testing, deployment, and rollback.
  • Collaborate with Data Scientists, Engineers, and Cloud Platform teams to resolve incidents and improve system reliability.
  • Use ServiceNow and Jira to manage and track support tickets, ensure SLA compliance, and provide timely resolution or escalation.
  • Proactively build monitoring tools, runbooks, and automation scripts to improve incident response time and reduce manual effort.
  • Maintain logs, dashboards, and alerts for both ML and data infrastructure using appropriate monitoring tools (e.g., CloudWatch, Prometheus, Snowflake monitoring).
  • Ensure compliance with internal security, data privacy, and responsible AI standards.

Qualifications:

  • Bachelors degree in Computer Science, Engineering, or a related technical field.
  • 3–6 years of experience in ML Ops, DevOps, or Data Platform support roles.
  • Strong experience with Snowflake, including RBAC, warehouse tuning, streams/tasks, monitoring, and query troubleshooting.
  • Hands-on support experience with ML platforms like DataRobot, RapidCanvas, SageMaker, or custom-built frameworks.
  • Experience with CI/CD tools (GitHub Actions, Azure DevOps, Jenkins) and scripting (Python, Bash).
  • Exposure to data integration tools: Matillion, Fivetran, and Snowpipe.
  • Understanding of model monitoring, version control, and retraining workflows.
  • Experience with incident response processes, root cause analysis, and preventative remediation.
  • Familiarity with data governance, compliance, and audit capabilities in Snowflake.
  • Strong SQL skills and experience automating Snowflake tasks and managing workflows.
  • Excellent communication and documentation skills, with the ability to coordinate with global teams.

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