MLOps Lead

Infosys

Website: infosys.com
Job details:

About the Role

We are looking for smart, self-driven, enthusiastic talents with top notch communication skills, intellectual curiosity and passion for technology in Machine Learning Space. Our analysts have a blend of in-depth domain expertise in one or more areas (in Retail and CPG Domain), strong business acumen and excellent soft skills & Exposure to Technology. Responsible for successful delivery of MLOps solutions and services in client consulting environments.

Responsibilities

• Define key business problems to be solved; formulate high level solution approaches and identify data to solve those problems, develop, analyze/draw conclusions and present to client.
• Assist clients with operationalization metrics to track performance of ML Models.
• Help team with ML Pipelines from creation to execution.
• Guide team to debug issues with pipeline failure.
• Understand and take requirements on Operationalization of ML Models from Data Scientist.
• Engage with Business / Stakeholders with status update on progress of development and issue fix.
• Setup Standards related to Coding, Pipelines and Documentation.
• Research on new topics, services and enhancements in Cloud Technologies.

Required Skills

• Strong proficiency in Python, Git, Bash scripting, Docker and ML flow/Airflow/Kubeflow, Data bricks.
• MLOps/DevOps Working knowledge with implementation and support experience - 1 or 2 projects a minimum.
• Hands-on experience in building and maintaining end-to-end ML pipelines including CI/CD pipeline, ML pipeline, alerts and others.
• Extensive experience with Azure/AWS/GCP.
• Well verse in refactoring code and industry coding standards.
• Agile framework trained to manage team effort and track through JIRA.

Preferred Skills

• None specified.

Pay range and compensation package

• Not specified.

Equal Opportunity Statement

We are committed to diversity and inclusivity.

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