Senior DevOps (MLOps / Azure)

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.

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.

Responsibilities:

• 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.

Qualifications:

• 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.