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Lockheed Martin

AI/ML Engineer (FULLTIME TELEWORK)

Lockheed Martin
United States · Full-time · Entry

We are committed to work-life balance by promoting this remote telework option. These job requirements allow the employee to work their entire schedule somewhere other than a Lockheed Martin designated office or job site.

What We're Doing

At Lockheed Martin - Data Analytics Innovations (DAI), we're advancing the future of defense through cutting-edge data science and artificial intelligence. Our mission is to develop and deploy advanced analytic tools that utilize Artificial Intelligence/Machine Learning (AI/ML) to enable proactive decision-making and enhance mission readiness. From predictive analytics to Condition-Based Maintenance (CBM), we are delivering AI-driven solutions across all Lockheed Martin Business Areas—improving aircraft availability, reducing operational costs, optimizing supply chains, and more.

The Work

As a Key Member Of Our Team, You Will

Design, develop, and deploy AI/ML models and predictive analytics solutions.

Leverage big data technologies, cloud infrastructure, and modern MLOps practices.

Build and integrate tools to monitor, explain, and enhance AI model performance.

Collaborate cross-functionally to understand use cases and deliver scalable, production-grade solutions.

Drive innovation in aircraft readiness, operational decision-making, and system maintenance through AI/ML.

Who We Are

We are a multidisciplinary team of data scientists, software engineers, and AI specialists focused on solving complex problems that have a tangible impact on national security and defense. We work in a fast-paced, collaborative environment, united by a passion for technology, innovation, and excellence. At Lockheed Martin, you’ll have access to top-tier resources, technical mentorship, and the opportunity to contribute to meaningful work that supports global missions.

Who You Are

You're a motivated, curious, and collaborative AI/ML engineer or data scientist who is ready to tackle real-world challenges. You bring both technical skill and a drive to continuously learn and grow.

Basic Qualifications

Bachelor’s degree in Software Engineering, Computer Science, Machine Learning, or a related STEM field with 2 years related experience.

Proficient in Python and libraries like NumPy, SciPy, and Pandas

Experience working with large datasets: management, exploration, visualization, and analysis

Hands-on with machine learning frameworks (e.g., PyTorch, TensorFlow, Scikit-learn, Keras)

Familiarity with DevOps tools: Docker, Git (GitLab/GitHub), CI/CD pipelines

Basic understanding of MLOps pipelines: labeling, explainability, model export, testing, deployment, monitoring

Comfortable interfacing with databases (SQL, MongoDB)

Strong communicator, actively engaged in collaborative platforms like Teams and Email

Desired Skills

Master’s degree in a related STEM field

Experience developing on Linux environments

Skilled in Dockerfiles, Helm, Kubernetes deployments

Familiarity with Generative AI and AI assistants

Experience with Reinforcement Learning

Hands-on with Kubernetes orchestration platforms (e.g., Rancher, OpenShift)

Effective communicator with both technical and non-technical audiences

Team player who thrives in dynamic, multi-disciplinary environments

Willing to challenge existing ideas and drive continuous improvement

Why Join Us

At Lockheed Martin, We Believe That Innovation Thrives In An Environment Of Collaboration And Diversity. Here, You'll Not Only Work On Groundbreaking Technologies But Also Shape The Future Of Aerospace, Defense, And Intelligence. We Offer

Competitive pay and benefits

Opportunities for career growth and technical leadership

Access to world-class tools, training, and development programs

A culture of inclusion, integrity, and innovation

Be part of a team that’s not just imagining the future—but building it. If you're ready to take on mission-critical problems with AI at scale, we want to hear from you.

Key Skills

Ranked by relevance

ai machine learning kubernetes mlops artificial intelligence tensorflow big data pytorch python docker devops linux cloud numpy scipy cicd git sql
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Posted
Jun 27, 2025
Type
Full-time
Level
Entry
Location
Fort Worth

Industries

Defense Space Manufacturing

Categories

Engineering Information Technology

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