What are the responsibilities and job description for the Machine Learning Engineer position at Insight Global?
Title : AI / ML Op Architect
Location : 4 days onsite in San Antonio, TX
Rate : 68-79 / hr
Duration : 6 month contract with extensions
JOB DESCRIPTION
Insight Global is looking for an AI / ML Op Architect to sit onsite in San Antonio, TX. The Architect will be supporting the Data Science / AI Team. In this role, the candidate will be designing and overseeing the implementation of AI / MLOps / LLMOps solutions on the Azure AI / ML platform. They will work with cross-functional teams to optimize the AI / ML Azure Stack at the client, ensuring efficient and high-quality delivery of AI / ML initiatives. The candidate will collaborate with a team of MLOps Architects and Engineers to support the Data Science & AI Team.
REQUIRED SKILLS AND EXPERIENCE
- Bachelor's Degree in Computer Science, Engineering, or a related field.
- 7 years in DevOps, MLOps, or related field.
- Extensive experience with designing and overseeing Azure DevOps, AzureML, and Linux-based platforms.
- Proficient in Azure Cloud Platform, Docker, and Kubernetes.
- Expert programming skills in Python, Bash, PowerShell.
- Experience with hands-on deployment of infrastructure as code (Terraform, ARM).
- Experience working with Data Science and Machine Learning teams.
NICE TO HAVE SKILLS AND EXPERIENCE
Preferred Qualifications :
Multiple Azure Certifications in Data, AI, ML, or DevOps, Terraform Certification, CKA Certification.
Microsoft Certified : Azure Data Scientist Associate, AWS Certified Machine Learning - Specialty, or Google Certified Professional Machine Learning Engineer
