Operations AI Engineer Senior - Level 3

Standard Job Description 
 What You Will Be Doing As the Operations AI Engineer Senior - Level 3 you will be responsible for leading exploratory research and analysis that identifies novel patterns in complex data, applying statistical methods to validate hypotheses, and delivering business‑focused insights.   Your responsibilities will include: Conduct exploratory data analysis to uncover patterns and trends in large data sets. Develop and validate predictive models using advanced statistical, deep‑learning, and optimization techniques. Design and implement high‑performance computing solutions (GPU, distributed, cloud) to accelerate processing. Translate model insights into actionable recommendations with clear visualizations for stakeholders. Collaborate with cross‑functional teams to integrate analytics into business decision‑making.   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 pursue challenging work, work hard, and have fun doing what you love then we want to build a better tomorrow with you.

A collaborative professional with deep expertise in applied statistics, machine learning, and high‑performance computing. You thrive on turning complex data into actionable business value, enjoy mentoring teammates, and seek continuous growth in cutting‑edge AI research.   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. This position is in Fort Worth, TX.  Discover Fort Worth   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. Demonstrated expertise in statistical modeling, hypothesis testing, and performance validation of AI models Experience with large dataset management Experience with and maintaining CI/CD pipelines Ability to translate complex operational requirements into scalable AI architectures Desired Skills 
 Master's degree in Computer Science, Engineering, AI/ML or related