MLOPS Engineer

About the Role

Key Responsibilities

• Work with clients to understand their issues and diagnose problems related to machine learning models.
• Design and deploy machine learning solutions using the MLOPS framework on cloud platforms such as Azure ML.
• Facilitate solution deployment on Azure ML and connect various cloud components to create integrated solutions.
• Shape consulting solutions for clients by connecting different cloud functions and assessing multiple solution options.
• Evaluate the pros and cons of various solution alternatives to arrive at the optimal solution.

Requirements

• Candidate must live within commuting distance of Dallas, TX, Bentonville, AR, or be willing to relocate, with willingness to travel within the US.
• Bachelor's degree or foreign equivalent from an accredited institution, or three years of progressive experience in the specialty in lieu of every year of education.
• At least 4 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 setting up MLOPS frameworks, 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 KPIs.
• All applicants authorized to work in the United States are encouraged to apply.

Nice to Have

• Experience in Agile way of working, managing team effort, and tracking through JIRA.
• High impact client communication skills.
• Domain experience in Retail, CPG, and Logistics.
• Experience in Test Driven Development, using Pytest frameworks, git version control, and Rest APIs.