Standard Job Description

What You Will Be Doing

As the Operations AI/ML Engineer - Level 2 you will be responsible for performing exploratory research and statistical analysis to identify novel patterns, develop predictive models, and translate findings into actionable business value.

Your responsibilities will include:

• Conduct exploratory research and statistical analysis to uncover meaningful patterns and latent predictive factors.
• Develop, test, and validate predictive models and algorithms using machine‑learning, deep‑learning, and optimization techniques.
• Design and implement scalable computing solutions (GPU, distributed, cloud) for large‑scale data processing.
• Create clear visualizations and actionable recommendations that support decision‑making.
• Collaborate with cross‑functional teams to translate analytical insights into product and process improvements.

What’s In It For You

We are committed to supporting your work‑life balance and overall well‑being, offering flexible scheduling options. Learn more about Lockheed Martin’s comprehensive benefits package here. Do you want to be part of a company culture that empowers employees to think big, lead with a growth mindset, and make the impossible a reality? We provide the resources and give you the flexibility to enable inspiration and focus - if you have the passion and courage to dream big, work hard, and have fun doing what you love then we want to build a better tomorrow with you.

Who You Are

A collaborative engineer with strong expertise in applied statistics, machine learning, and data visualization. You thrive in fast‑paced, global environments, possess excellent problem‑solving skills, and are able to communicate complex insights clearly to diverse stakeholders.

Further Information About This Opportunity

• MUST BE A U.S. CITIZEN - This position is located at a facility that requires special access.
• The selected candidate must be able to obtain a secret clearance.

Perform exploratory research and analysis to identify novel and meaningful patterns in data and uses statistical methods to reject or accept proposed hypotheses about relationships or latent predictive factors discovered through their work to provide business value. Uses a combination of tools, technologies, and numerical computing systems (i.e.: GPU processing, distributed computing, highly parallel coding, cloud computing, machine learning, visualization, system modelling and simulation) to achieve results. Areas of expertise should include several of the following: applied statistics, text mining, natural language processing, deep learning, optimization, and other similar fields. Work on datasets with applied statistics and machine learning algorithms; Use exploratory data analysis techniques to identify meaningful relationships, patterns, or trends from complex data sets and discover opportunities in datasets to support decision-making; Develop predictive models and new algorithms to solve data / business problems; Understand the math and statistics behind the models and interpret, extrapolate, and prescribe from data to deliver actionable recommendations using effective visualizations

Basic Qualifications

• Bachelor's degree in Computer Science, Engineering, AI/ML or related field
• Proficiency in Python and foundational machine learning concepts, with the ability to independently develop, train, and evaluate models
• Experience in developing, training, and deploying deep learning models using machine learning frameworks like TensorFlow and PyTorch.
• Experience with large dataset management

Desired Skills

• Familiarity with Large Language Models (LLMs) and/or Generative AI (GenAI)
• Familiarity with GenAI Coding Assistants
• Experience with agentic AI frameworks
• Experience in API Development & Integration
• Experience with cloud-based platforms and containerization (e.g., Docker, Kubernetes)
• Experience with and maintaining CI/CD pipelines
• Understanding of agile development methodologies and version control systems (e.g., Git)
• Experience interfacing with database architectures such as PostgreSQL or MySQL
• Experience with aircraft manufacturing processes
• Strong organization and communication skills
• Master's degree in Computer Science, Engineering, AI/ML or related field