Senior DevOps MLOps / Azure

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Job details

Opportunity to join the development of a Generative AI MVP for a large beverage manufacturer!

This Jobot Consulting Job is hosted by Craig Rosecrans

Are you a fit? Easy Apply now by clicking the "Easy Apply" button and sending us your resume.

Salary $90 - $140 per hour

A Bit About Us

We are on the hunt for a talented, innovative, and tech-savvy Consulting Senior DevOps (MLOps / Azure) to join our dynamic team. This role is ideal for someone who thrives in a fast-paced, cutting-edge technology environment and has a passion for developing and implementing best-in-class DevOps practices. The successful candidate will be responsible for designing, building, and managing the software delivery pipeline for our AI/ML projects, leveraging their expertise in Azure and other cloud platforms.

Why join us?

• Competitive Base Salary
• Company paid health plan for employees
• Flexible Hours
• Very generous PTO
• Dental and Vision, FSA, HSA
• Small team, autonomy
• Many more great perks!
  
  

• Design, implement, and manage the Continuous Integration/Continuous Deployment (CI/CD) pipeline for AI/ML projects.
• Develop and implement MLOps practices to improve the speed, efficiency, and quality of our AI/ML deployments.
• Utilize Azure, Kubernetes, and other cloud technologies to facilitate efficient and scalable deployment of AI/ML models.
• Develop Infrastructure as Code (IaC) using Terraform or equivalent tools to automate the provisioning and management of our cloud resources.
• Collaborate with cross-functional teams to understand their needs and translate them into technical requirements.
• Implement GenAI Architectural Solutions and Generative AI to enhance our AI/ML capabilities.
• Troubleshoot and resolve issues related to the CI/CD pipeline, cloud infrastructure, and AI/ML deployments.
• Stay updated with the latest industry trends and technologies and leverage them to improve our DevOps practices.
  
  

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• At least 3 years of experience in a DevOps role, preferably with a focus on MLOps.
• Proven experience with Azure, Kubernetes, and other cloud technologies.
• Strong experience with Infrastructure as Code (IaC) using Terraform or equivalent tools.
• Experience with GenAI Architectural Solutions and Generative AI is a plus.
• Strong understanding of CI/CD principles and practices.
• Excellent problem-solving skills, with the ability to troubleshoot complex issues.
• Strong communication skills, with the ability to explain technical concepts to non-technical stakeholders.
• Demonstrated ability to work effectively in a fast-paced, dynamic environment.
• Strong team player, with the ability to collaborate effectively with cross-functional teams.
• Continuous learner, with the ability to stay updated with the latest industry trends and technologies.