Senior Software/MLOps Engineer

Basic Qualifications

• Demonstrated Python development experience
• Knowledge of cloud computing platforms (e.g., AWS, Azure, GCP, etc.)
• Containerization experience (e.g., Kubernetes, Docker, Helm, etc.)
• TS clearance required to start

Job Description

By bringing together people that use their passion for purposeful innovation, at Lockheed Martin we keep people safe and solve the world's most complex challenges. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work.

With our employees as our priority, we provide diverse career opportunities designed to propel development and boost agility. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work.

At Lockheed Martin, we place an emphasis on empowering our employees by fostering innovation, integrity, and exemplifying the epitome of corporate responsibility.

Your Mission is Ours.

The Space AI Talent Center is seeking a highly skilled Software/MLOps Engineer to join a cross-functional team of experts in research, data science, software development, physics, and mathematics. As a key member of this team, you will leverage cutting-edge AI/ML tools and techniques to tackle the most complex challenges in Space - all in support of our national security.

This role offers a unique opportunity to collaborate with a diverse group of professionals, drive innovation, and contribute to the development of solutions that address critical problems in the Space domain.

The successful candidate will have advanced experience with and/or knowledge of: AI/ML, Deep Learning, or Computer Vision, modern software development practices/languages, and a passion for math and science.

Desired Skills

• Experience with CI/CD pipelines and/or tools (e.g., Jenkins, GitLab)
• Front-end development experience using JavaScript
• Experience with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn
• Experience with RF, SAR or EO image processing algorithms/techniques
• Experience automating the training, testing, and deployment of machine learning models
• Excellent written and verbal communication skills
• Ability to work in a collaborative and team-based environment

#LMSpaceAI

Other Important Information

By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings.

Ability to work remotely

Onsite Full-time: The work associated with this position will be performed onsite at a designated Lockheed Martin facility.