Overview Keysight is on the forefront of technology innovation delivering breakthroughs and trusted insights in electronic design simulation prototyping test manufacturing and optimization Our 15 000 employees create world-class solutions in communications 5G automotive energy quantum aerospace defense and semiconductor markets for customers in over 100 countries Learn more about what we do Our award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions We believe that when people feel a sense of belonging they can be more creative creative and thrive at all points in their careers We are looking for a skilled and proactive Data Machine Learning DevOps Engineer to join our Data Science and Analytics team This role is responsible for supporting and maintaining the production health of machine learning workflows model deployments and Snowflake data platform operations You will serve as a key support engineer ensuring seamless ML and data infrastructure performance across a wide range of tools and platforms 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 Bachelor s 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 Careers Privacy StatementKeysight is an Equal Opportunity Employer

📌 Data And Ml Devops Engineer (Karnataka)
🏢 Keysight Technologies
📍 Karnataka