Machine Learning Specialist

Job Title: AI/MLOps Architect Location: San Antonio, TX - Hybrid Job Type: W2 Contract Duration: 6+ Months Position Summary • We are seeking an experienced and initiative-taking AI/MLOps Architect to join our Solution and Data Architecture team supporting the Data Science/AI Team. • In this role, you will be pivotal in architecting robust AI/MLOps/LLMOps solutions on the Azure AI/ML platform. • You will collaborate with cross-functional teams to streamline the AI/ML Azure Stack, ensuring our AI/ML initiatives are delivered with high quality and speed. • You will be collaborating with team of MLOps Architects and Engineers supporting the Data Science & AI Team. Key Responsibilities • Architect Robust Azure AI/MLOps/LLMOps Solutions: To support the 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 the organization. • 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 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. Desired Skills and Experience • Education: Bachelor’s Degree in Computer Science, Engineering, or a related field. • 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. 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.