ML Engineer (MLOPS ) with Azure Certified

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 Google Cloud Platform Cloud environment

Azure Certified DP100, AZ/AI900 or Google Cloud Platform 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

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