CTIO AI Engineering Manager

What you'll do

• Design, train, and deploy machine learning models to solve complex business problems.
• Develop scalable, cloud-native microservices using Docker, Kubernetes, and various cloud platforms.
• Build end-to-end AI applications integrated into diverse platforms using LangChain and vector databases.
• Manage CI/CD pipelines for AI systems using GitHub Actions.
• Translate complex business requirements into software-engineered AI solutions.
• Manage client relationships and ensure project deliverables meet quality and timeline expectations.
• Mentor junior staff and manage team performance to deliver high-quality technical results.
• Incorporate AI into various applications by working with cross-functional teams.

What we're looking for

• 5 years of experience in AI engineering or a related field.
• Master's Degree in Computer Engineering, Data Processing/Analytics/Science, Computer Science, Software Engineering, Artificial Intelligence and Robotics (preferred).
• Experience designing, training, and deploying machine learning models (preferred).
• Experience developing scalable, cloud-native microservices using Docker and Kubernetes (preferred).
• Experience building end-to-end AI applications, managing CI/CD pipelines, and implementing vector databases or LangChain (preferred).
• Experience deploying on cloud platforms like AWS, GCP, or Azure (preferred).
• Experience contributing to open-source projects or AI/ML publications (preferred).