Job Description

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Infosys is seeking a ML Engineer with strong background in designing and deploying machine learning models using MLOPS framework for Model Management Ideal candidate will work with clients to understand the issues they face diagnose problems design solutions and facilitate solution deployment on Azure ML One will also have the opportunity to shape value adding consulting solutions for clients by connecting various functions of cloud components Ideally the candidate uses understanding of the problem to arrive at multiple solution alternatives keeping in mind the various stakeholders and assess the pros and cons of all the alternatives to arrive at the optimal solution Required Qualifications Bachelor s degree or foreign equivalent required from an accredited institution Will also consider three years of progressive experience in the specialty in lieu of every year of education At least 7 years of experience in Information Technology All applicants authorized to work in the United States are encouraged to apply Candidate must live within commuting distance of Indianapolis IN or be willing to relocate Travel within the US may be required At least 4 years of experience in Information Technology in MLOPS At least 4 years of experience Python Programming for ML Model deployment with Cleancode standards At least 4 years of experience in AZURE or GCP Cloud environment Azure Certified DP100 AZ AI900 or GCP equivalent including DevOps certification Professional experience setting up MLOPs Framework ML CI CD pipelines Model management monitoring and Refactoring of MLOPs runs At least 2 years of implementation experience in DevOps MLOps tools like Grafana Prometheus Poetry Snyk and others or equivalent in other environments At least 2 years of experience in MLOPS Framework industry standards and operations KPI

Key Responsibilities:

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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

Technical Requirements:

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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

Additional Responsibilities:

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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

Preferred Skills:

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Technology->Machine learning->data science