Location: San Antonio, TX Onsite Monday - Thursday
Expenses: None
Duration: 1 year
Start: 1/6/2025
Description
:Customer is seeking an experienced AI/MLOps Architect to join our Solution and Data Architecture team supporting the Data Science/AI Team. Consultant will be pivotal in architecting robust AI/MLOps/LLMOps solutions on the Azure AI/ML platform. They will collaborate with cross-functional teams to streamline the AI/ML Azure Stack at MPC, ensuring our AI/ML initiatives are delivered with high quality and speed. Will be collaborating with team of MLOps Architects and Engineers supporting the MPC Data Science & AI Team
.Key Responsibilitie
sArchitect Robust Azure AI/MLOps/LLMOps Solutions: To support the MPC Data Science and AI Team to deliver high quality Data Science solutions to our business continuously
.Azure AI/ML Platform Orchestration: Provide thought leadership on all aspects of the Azure ML Platforms that host the ML models and deliver value to our clients within and outside of MPC
.Azure OpenAI Expertise: Have working knowledge of Azure OpenAI based AI/ML solutions to provide quick value to business
.Kubernetes Expertise: Provide thought leadership in the architecture and maintenance of the Azure AKS Clusters for the team to support AI/ML Initiatives
.Production Support: Be able to provide 24X7 production support for MPC Azure ML models in case of issues/troubleshooting
.Promote DevSecOps Principles: Foster a DevSecOps culture across the Analytics & Innovation organization, ensuring security is integrated into the development process
.Collaboration: Work closely with data scientists, data engineers, and software developers to integrate and deploy machine learning models into production
.Security and Compliance: Ensure the security and compliance of data and infrastructure, adhering to industry best practices and regulatory requirements
.Documentation: Maintain comprehensive documentation of systems, processes, and workflows to facilitate knowledge sharing and collaboration
.Lifelong Learner: Exhibit an attitude of lifelong learning to keep up with the constant demands of keeping up instead of catching up in the field of AI/ML
.Requirements
:Experience: 7+ years of experience in DevOps, MLOps, or a related field
.Extensive Azure DevOps and AzureML experience
.Experience working on Linux based platforms for AI/ML Data Science solutions
.Experience working with Data Science and Machine Learning teams
.Education: Bachelor's Degree in Computer Science, Engineering, or a related field
.Technical Expertise
:Expert level proficiency in the Azure Cloud Platform and containerization technologies (Docker, Kubernetes)
.Expert programming skills in Python, Bash, PowerShell, or other modern programming/scripting languages
.Experience with infrastructure as code (Terraform, ARM or other IaC tools)
.Tool/Platform Proficiency
:Familiarity with CI/CD tools (Jenkins, GitHub Actions, ADO Pipelines)
.Knowledge of Azure Architecture with a focus on AI/ML Platforms
.Problem-Solving: Excellent problem-solving and analytical skills, with a focus on delivering practical and efficient solutions