| Hiring now:: AI MLOps Architect :: Onsite TX at Remote, Remote, USA |
| Email: [email protected] |
| From: soumyaranjan mallick, vyze inc [email protected] Reply to: [email protected] Job Title: AI/MLOps Architect(100% Interview) Domain: Oil/Gas Location: This would be a full onsite role in San Antonio, TX Visa: USC/GC/H4EAD/GC EAD MOI : Skype Education Level: Bachelors Degree Please send me each of your candidates' information in a separate email and have them complete the Spark Hire THEN I will call them. I will not call any candidates until I have confirmation that the Spark Hire is completed It will ask the candidates a few questions about their experience and the questions are below. Camera and microphone are on - a suit and tie are not necessary at all, but a collared shirt and clean background go a long way. This should be a natural response - so please do not read off of a resume. As soon as this is completed, I will give the candidates a call, talk to them a little about the job requirements, and submit them. 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 at MPC, 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. 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 Requirements: Education: Bachelors 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, 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. Preferred Experiences: Advanced Analytics Tools: 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. Keywords: continuous integration continuous deployment artificial intelligence machine learning information technology golang green card Texas Hiring now:: AI MLOps Architect :: Onsite TX [email protected] |
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| 11:19 AM 23-Jan-25 |