AI/ML OPS Engineer

Infosys; Hartford (CT); On-site; USD 117,000 - 194,000; Full time

Job summary

Infosys is seeking an AI/ML OPS Engineer with expertise in deploying machine learning models using MLOPS frameworks. Ideal candidates will work closely with clients to provide tailored solutions and play a pivotal role in Azure ML environments. The position demands solid technical experience and offers the chance to lead impactful consulting projects.

Qualifications

• At least 3 years of experience in Information Technology.
• At least 2 years of experience in MLOPS.
• Azure Certified – DP100, AZ/AI900 or GCP equivalent.

Responsibilities

• Design and deploy machine learning models using MLOPS framework.
• Work with clients to diagnose problems.
• Facilitate solution deployment on Azure ML.

Skills

Python Programming

MLOPS

Clean Code Standards

Azure

GCP

Education

Bachelor’s degree or foreign equivalent

Tools

JIRA

Job description

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Job Description

Infosys is seeking a

Job Description

Infosys is seeking a MLOPS Engineer with strong background in designing and deploying machine learning models using MLOPS framework. 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.
• All applicants authorized to work in the United States are encouraged to apply.
• Candidate must live within commuting distance of Richardson, TX, Raleigh, NC, Hartford, CT, Indianapolis, IN or be willing to relocate. Travel within the US may be required.
• At least 3 years of experience in Information Technology
• At least 2 years of experience in Information Technology in MLOPS
• At least 2 years of experience Python Programming for ML Model deployment with Clean code standards
• At least 2 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, monitoring and dashboarding of MLOPs runs
• At least 2 years of implementation experience in DevOps
• At least 2 years of experience in MLOPS Framework, industry standards and operations KPI
  
  

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.

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.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  IT Services and IT Consulting

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