Machine Learning Engineer

Role & responsibilities

Roles & Responsibilities:

• Understand the requirements from the business and translate it into an appropriate technical requirement.
• 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 on 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

Preferred candidate profile

Preferred Qualifications:

• Experienced in Agile way of working, manage team effort and track through JIRA
• High Impact client communication
• Domain experience in Retail, CPG and Logistics
• Experience in Test Driven Development and experience in using Pytest frameworks, git version control, Rest APIs

The job may entail extensive travel. The job may also entail sitting as well as working at a computer for extended periods of time. Candidates should be able to effectively communicate by telephone, email, and face to face.