1.0 - 4.0 years

2 - 6 Lacs

Bengaluru

Hybrid

Knowledge and application: Seasoned, experienced professional; has complete knowledge and understanding of area of specialization. Uses evaluation, judgment, and interpretation to select right course of action. Problem solving: Works on problems of diverse scope where analysis of information requires evaluation of identifiable factors. Resolves and assesses a wide range of issues in creative ways and suggests variations in approach. Interaction: Enhances relationships and networks with senior internal/external partners who are not familiar with the subject matter often requiring persuasion. Works with others outside of own area of expertise, with the ability to adapt style to differing audiences and often advises others on difficult matters. Impact: Impacts short to medium term goals through personal effort or influence over team members. Accountability: Accountable for own targets with work reviewed at critical points. Work is done independently and is reviewed at critical points. Workplace type : Hybrid Working

Posted 2 months ago

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Data & ML Devops Engineer Mynd

3.0 - 6.0 years

20 - 25 Lacs

bengaluru

Work from Office

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.

Posted Date not available

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