MLOps Engineer

The role

You will own the evolution of Gamma Ulixes, the AI product platform. You will work with Machine Learning, Software, and DevOps Engineers to transform research prototypes into production-ready AI systems.

What you will do

• Develop and improve Gamma Ulixes AI platform for training, evaluating and deploying machine learning models.
• Build experiment tracking, model registry and dataset management capabilities.
• Design reproducible ML workflows and automated training pipelines.
• Develop benchmarking, evaluation and model validation services.
• Design scalable infrastructure supporting computer vision and trajectory-based machine learning.
• Build APIs and backend services powering AI workflows.
• Manage GPU infrastructure, distributed training and resource orchestration.
• Improve monitoring, observability and reliability across AI services.
• Maintain reproducible development and deployment environments.
• Build CI/CD pipelines for machine learning models.

Required qualifications

• 3–5+ years of experience as an MLOps Engineer, ML Platform Engineer, Software Engineer or Data Engineer working on production machine learning systems.
• Strong Python software engineering skills.
• Experience designing and operating production-grade ML infrastructure.
• Solid understanding of Docker, Linux and containerized environments.
• Experience with ML experiment tracking, model registries and reproducible workflows.
• Experience designing APIs and backend services supporting AI applications.
• Familiarity with CI/CD, infrastructure automation and cloud-native development.
• Strong ownership mindset with the ability to drive projects from design to production.
• Comfortable collaborating across Machine Learning, Software and Infrastructure teams.

About the company

Alta Ares is an air defense Neoprime that builds AI-guided interceptors to counter drones and cruise missiles. Founded in 2024, the company has 90 people and has raised over $60M.