ML Ops

* 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

* 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.