3.0 - 5.0 years

5 - 7 Lacs

Bengaluru

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Educational Requirements Bachelor of Engineering Service Line Data & Analytics Unit Responsibilities A day in the life of an Infoscion As part of the Infosys consulting team, your primary role would be to get to the heart of customer issues, diagnose problem areas, design innovative solutions and facilitate deployment resulting in client delight. You will develop a proposal by owning parts of the proposal document and by giving inputs in solution design based on areas of expertise. You will plan the activities of configuration, configure the product as per the design, conduct conference room pilots and will assist in resolving any queries related to requirements and solution design You will conduct solution/product demonstrations, POC/Proof of Technology workshops and prepare effort estimates which suit the customer budgetary requirements and are in line with organizations financial guidelines Actively lead small projects and contribute to unit-level and organizational initiatives with an objective of providing high quality value adding solutions to customers. If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you! Technical and Professional Requirements: SNOWFLAKE ADMINSNOWFLAKE DEVOPS Technology->Data on Cloud-DataStore->Snowflake Preferred Skills: Technology->Data on Cloud-DataStore->Snowflake

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.

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