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
Pay range and compensation package
Equal Opportunity Statement
We are committed to diversity and inclusivity.
Click on Apply to know more.