Duration: 6-month contract, with possible extensions
Location: San Antonio, TX (4 days onsite, Friday remote)
Please see the job description below:
Must Haves:
- Bachelor's Degree in Computer Science, Engineering, or a related field.
- 7+ years in DevOps, MLOps, or related field.
- Extensive experience with Azure DevOps, AzureML, and Linux-based platforms.
- Proficient in Azure Cloud Platform, Docker, and Kubernetes.
- Expert programming skills in Python, Bash, PowerShell.
- Experience with infrastructure as code (Terraform, ARM).
- Experience working with Data Science and Machine Learning teams.
Plusses:
- Advanced Analytics Tools.
- Experience in Agile methodologies.
- Strong communication skills for technical and non-technical stakeholders.
- Collaborative mindset for diverse team environments.
- Microsoft Certified: Azure Data Scientist Associate, AWS Certified Machine Learning – Specialty, or Google Certified Professional Machine Learning Engineer.
- Preferred Qualifications: Multiple Azure Certifications in Data, AI, ML, or DevOps, Terraform Certification, CKA Certification.
Day-to-Day:
- 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 design and implement AI/MLOps/LLMOps solutions on the Azure AI/ML platform. They will work with cross-functional teams to optimize the AI/ML Azure Stack, ensuring efficient and high-quality delivery of AI/ML initiatives. The candidate will collaborate with a team of MLOps Architects and Engineers to support our client's Data Science & AI Team.