AI Infrastructure Specialist

Job Summary

We are seeking a skilled professional to play a key role in our data engineering team. As a Data Engineer, you will be responsible for bridging infrastructure and machine learning to bring GenAI models into production.

• You will design and maintain continuous integration/continuous deployment pipelines and cloud infrastructure using Terraform, focusing on reliability, security, and scalability.
• Containerized ML applications management with Docker is required; experience with Kubernetes is a plus.
• Monitoring model performance, optimizing infrastructure, and sharing best practices across the team to foster continuous improvement are also key responsibilities.

About This Role

This position involves working closely with cross-functional teams to deliver advanced AI solutions. Your contributions will directly impact the operational success of these initiatives.

Key Skills and Qualifications

• Proven expertise in designing and maintaining scalable cloud infrastructure using Terraform.
• Experience with containerized ML applications and Docker.
• Knowledge of Kubernetes is an asset.
• Strong understanding of continuous integration/continuous deployment pipelines and their importance in ensuring smooth project delivery.

What We Offer

As part of our team, you can expect:

• A dynamic work environment that encourages collaboration and knowledge sharing.
• Ongoing opportunities for professional growth and development.
• The chance to work on cutting-edge projects that drive innovation in AI.

Become a Key Player

Join us in shaping the future of data engineering and making significant contributions to the field of AI.