ML Ops

• 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;

• 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 failures

• 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

• 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 etrained to manage team effort and track through JIRA

Education: Bachelor Of Comp. Applications,Bachelor Of Computer Science,Bachelor Of Science,Bachelor of Engineering,Bachelor Of Technology

Preferred skills: Technology->AI Engineering->MLOps