- Location
- Bengaluru East, Karnataka, India
- Job type
- Full-time
Required skills
- Python
- Agile
- Airflow
- AWS
- Azure
- Bash
- DevOps
- Docker
- end-to-end
- GCP
- Git
- Jira
- Kubeflow
- Refactoring
About the role
Infosys
Website:
infosys.com
Job details:
- 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
- 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
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