| AI ML Ops Architect Location San Antonio TX Onsite at Remote, Remote, USA |
| Email: [email protected] |
|
From: Malkuri Ramarao, Paramount software solutions inc [email protected] Reply to: [email protected] Hi, This is Ramarao Malkuri and I am working with Paramount Solutions, I would like to check your current availability in the job market. We are hiring for AI/ML Ops Architect, if youre keeping your options open, please give me a call or respond to my email with your update resume [email protected] Job Title: AI/ML Ops Architect Location: San Antonio, TX Onsite Monday Thursday Duration: Long Term Contract Job 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 Responsibilities: Architect 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: Bachelors 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, Power, 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. Important skills : Data Scientist, AI, ML, Azure AI/ML, Azure DevOps and Azure ML Keywords: continuous integration continuous deployment artificial intelligence machine learning access management Texas AI ML Ops Architect Location San Antonio TX Onsite [email protected] |
| [email protected] View All |
| 09:11 PM 09-Jan-25 |