Job title: MLOps Architect
Location: San Antonio, TX
Job Type: W2 contract
Duration: 6+ months contract
Location: San Antonio, TX
Job Type: W2 contract
Duration: 6+ months contract
Required Skills:
MLOPs Architecture Chatbot Architecture Gen AI Azure
MLOPs Architecture Chatbot Architecture Gen AI Azure
Job Description
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.
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.
Requirements:
- 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.
Preferred Experiences:
- Advanced Analytics Tools: Experience with advanced analytics tools and methodologies, including monitoring and logging solutions (Azure Monitor, Prometheus, Grafana).
- Agile Methodologies: Experience working in Agile development environments.
- Communication: Strong verbal and written communication skills, capable of articulating complex technical concepts to both technical and non-technical stakeholders.
- Team Collaboration: A collaborative mindset with a record of working effectively within diverse teams.
- Other Qualifications:
- Microsoft Certified – Azure Data Scientist Associate OR AWS Certified Machine Learning – Specialty OR Google Certified Professional Machine Learning Engineer
- Multiple Azure Certifications preferred in the field of Data, AI, ML or DevOps.
- Terraform Certification preferred.
- CKA Certification preferred.
Why Join Us:
- Join our forward-thinking Solution & Data Architecture team and play a critical role in advancing our AI/ML capabilities. Here’s what you can expect:
- Innovation: Be at the forefront of integrating innovative DevOps and MLOps practices to streamline AI/ML operations.
- Collaboration: Work alongside talented data scientists, ML engineers, and cloud experts in a challenging environment that fosters continuous learning and growth.
- Impact: Make significant contributions to the company’s success by enhancing the efficiency and scalability of our AI/ML initiatives.