Machine Learning EngineerTrack This Job
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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. 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 EEO/About Us : About Us Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem. Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.