MLE/MLOps consultant

The MLE/MLOps consultant works in Infosys’s Data & Analytics Unit, delivering MLOps solutions and services in client consulting environments. The posting specifies 8–10 years of work experience and lists Bangalore as the location; it does not specify a working arrangement or compensation.

Responsibilities

• Translate business needs into technical requirements, define problems to solve, formulate high-level approaches, identify relevant data, analyze findings and present conclusions to clients.
• Support the operationalization of machine learning models, including requirements gathered from data scientists and metrics that clients can use to track model performance.
• Help the team create and execute ML pipelines, troubleshoot pipeline failures, and establish standards for coding, pipelines and documentation.
• Update business stakeholders on development progress and issue resolution. Research new cloud technologies, services and enhancements.

Qualifications and capabilities:

• The posting lists Bachelor of Engineering, BSc, BTech, BBA, MTech and MSc under educational requirements. Its detailed requirements specify a Bachelor of Engineering or Technology in any stream, or a bachelor’s degree in a quantitative discipline such as operations research, statistics or mathematics, or significant relevant coursework, with a consistent academic track record.
• Knowledge of software configuration management, SDLC and agile methodologies; client-facing, collaborative, logical-thinking and problem-solving skills; and project and team management capability. The posting also calls for business acumen, awareness of industry trends, knowledge of two or three industry domains, and an understanding of project financial processes and pricing models.

Preferred qualifications

• A master’s degree in a related science, operations research, mathematics or statistics field, or a PhD in any stream, is listed as good to have. MLOps is listed as a preferred skill.