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Posted 15 hours ago

Job Description –

Need Candidates, Local to TX . With LinkedIn

Title:AI/MLOps Architect

Location:San Antonio, TX **Onsite Monday – Thursday

Duration: 1 year

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, ensuring our AI/ML initiatives are delivered with high quality and speed. 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 our business.
Azure OpenAI Expertise: Demonstrate 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: 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:

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 focus on delivering practical, efficient solutions.
Regards,

Satyajit nayak

Sr. Technical Recruiter

TEK Inspirations LLC | 13573 Tabasco Cat Trail, Frisco, TX 75035

E: satyajit@tekinspirations.com

Linkedin: linkedin.com/in/satyajeet-nayak-85751625b

From:
Satyajit Nayak,
tekinspirations
satyajit@tekinspirations.com
Reply to: satyajit@tekinspirations.com

Need Candidates, Local to TX . With LinkedIn

Location:San Antonio, TX **Onsite Monday – Thursday

Duration: 1 year

Description:

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 our business.

Azure OpenAI Expertise: Demonstrate 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: 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:

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 focus on delivering practical, efficient solutions.