Overview
On Site
Depends on Experience
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - 12 Month(s)
Skills
MLOPS
Job Details
Job Title: MLOPS Engineer
Location: Indianapolis, IN / Raliegh, NC / Richardson, TX - Infosys (Day 1 onsite with 3 days hybrid)
Duration: 12+ month Contract role
JOB DESCRIPTION:
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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.