Are you an experienced AI/ML Ops Engineer looking to contribute to groundbreaking advancements in technology? We have an exciting opportunity for you to be part of a team that is revolutionizing the built environment.

About the Role:

As an AI/ML Ops Engineer, you will play a critical role in developing and managing the AI/ML models that power our cutting edge products. You will ensure the reliability, scalability, and security of our AI/ML infrastructure while implementing best practices and staying updated with the latest industry advancements.

Key Responsibilities:

• Oversee the complete lifecycle of AI/ML models, from development to deployment and ongoing monitoring.
• Ensure the robustness, scalability, and security of AI/ML infrastructure.
• Implement best practices for version control, testing, and CI/CD for AI/ML models.
• Troubleshoot and resolve performance and infrastructure issues.
• Stay informed about the latest advancements in AI/ML operations, tools, and best practices.
• Provide technical support and guidance to data scientists and team members.
• Maintain thorough documentation for AI/ML infrastructure and processes.

Required Expertise:

• Proven experience as an AI/ML Ops Engineer or similar role, with a strong grasp of AI/ML lifecycle management.
• Proficiency in Python and experience with AI/ML frameworks like TensorFlow and PyTorch.
• Experience with cloud platforms such as AWS, Google Cloud, or Azure, and containerization tools like Docker and Kubernetes.
• Strong knowledge of CI/CD pipelines, automation tools, and version control systems like Git.
• Familiarity with data engineering concepts, including data pipelines, ETL processes, and big data technologies
• Knowledge of security best practices for AI/ML models and data.

What We Offer:

• Competitive salary and comprehensive benefits package.
• Opportunity to work with innovative technology in a dynamic environment.
• Supportive and collaborative team culture.
• Professional growth and development opportunities.