AI/ML 2 Engineer With Poly

Description The Artificial Intelligence/Machine Learning (AI/ML) Engineer designs, creates, tests, and productizes AI/ML algorithms to solve business challenges. The AI/ML models they create should be capable of learning and making predictions as defined by the business logic developed to meet customer requirements. The AI/ML Engineer should be proficient in all aspects of model architecture, data pipeline interaction, and metrics application, interpretation, and presentation. The AI/ML Engineer needs familiarity with foundational concepts of application development, infrastructure management, data engineering, and data governance. Through an understanding of training, retraining, deploying, scheduling, monitoring, and improving models through iterative user and system feedback, the AI/ML Engineer designs and creates scalable solutions for optimal performance. The AI/ML Engineer may be responsible for leading geographically diverse teams and will often serve as a primary POC for AI-related matters, so must have exceptional analytical, problem-solving and communication skills. Basic Qualifications TS/SCI w/ Poly Five (5) years experience in applied machine learning in programs and contracts of similar scope, type, and complexity is required. A Master's or Ph.D. degree in advanced math, artificial intelligence, data science, computer science or deep learning from an accredited college or university. 5 additional years of machine learning experience with a relevant Bachelor's degree may be substituted for a Master's degree. Experience with standard machine language frameworks, e.g., PyTorch, TensorFlow. Desired Skills Strong proficiency in AI/ML frameworks such as TensorFlow, PyTorch, or Hugging Face. Expertise in model training, evaluation, and deployment. Hands‑on experience with AWS tools like SageMaker, Lambda, EC2, and S3. Experience in developing full‑stack software applications (JavaScript, Python, Java, etc.). Solid understanding of data structures, algorithms, and system design. Experience & Background Extensive experience in machine learning model development, including natural language processing (NLP). Experience with model evaluation, optimization, and performance monitoring. Proven experience in software engineering with strong coding skills. Experience working in a government or defense‑related environment is highly preferred. Clearance Level TS/SCI w/Poly SP Benefits Medical, dental, vision, life insurance, short‑term disability, long‑term disability. 401(k) match, flexible spending accounts, employee assistance program. Education assistance, parental leave, paid time off, holidays. Work Schedule Lockheed Martin supports a variety of alternate work schedules. The schedule for this position includes a 9x80 schedule with every other Friday off. Location & Compensation Annual base salary range for this position in California, Massachusetts, and New York (excluding most major metropolitan areas), Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, Vermont, Washington, or Washington DC is $128,200 – $225,975. The salary range varies for other states based on work location. This position is incentive‑plan eligible. Lockheed Martin is an equal‑opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics. #J-18808-Ljbffr 慨正橡扯