MLOPS Engineer

Infosys • Richardson, TX

389d

About The Position

The MLOPS Engineer at Infosys is responsible for designing and deploying machine learning models using MLOPS frameworks. This role involves working closely with clients to understand their challenges, diagnosing issues, and facilitating the deployment of solutions on Azure ML. The ideal candidate will leverage their expertise to create value-adding consulting solutions by integrating various cloud components and assessing multiple solution alternatives to determine the best course of action.

Requirements

• Bachelor's degree or foreign equivalent from an accredited institution, or three years of progressive experience in lieu of education.
• At least 7 years of experience in Information Technology.
• At least 4 years of experience in MLOPS.
• At least 4 years of experience in Python programming for ML model deployment with clean code 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 in setting up MLOPS framework and monitoring.
• At least 2 years of implementation experience in DevOps.
• At least 2 years of experience in MLOPS framework, industry standards, and operations KPI.

Nice To Haves

• Experience in Agile methodologies and managing team efforts through JIRA.
• High impact client communication skills.
• Domain experience in Retail, CPG, and Logistics.
• Experience in Test Driven Development and using Pytest frameworks, git version control, and REST APIs.

Responsibilities

• Design and deploy machine learning models using MLOPS frameworks.
• Work with clients to understand their issues and diagnose problems.
• Facilitate solution deployment on Azure ML.
• Connect various functions of cloud components to create consulting solutions.
• Assess multiple solution alternatives considering various stakeholders.
• Implement monitoring and dashboarding of MLOPS runs.

Benefits

• Equal employment opportunities without regard to race, color, sex, gender identity, sexual orientation, religious practices, national origin, pregnancy, disability, or veteran status.

What This Job Offers

• Job Type: Full-time
• Industry: Professional, Scientific, and Technical Services
• Education Level: Bachelor's degree