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AI/ML 2 Engineer w/Poly

Lockheed Martin

Annapolis Junction,US-MD,United StatesMid
Sign in to applyVerified 57m ago
Location
Annapolis Junction,US-MD,United States
Work model
On-Site
Level
Mid
Posted
2d ago

Skills

Machine LearningPythonJavaTensorFlowPyTorchJavaScriptC++AWSServerlessHadoopDeep LearningHugging Face

About this role

Standard Job Description 
 THE WORK 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.

WHO WE ARE

At Lockheed Martin, we're a pioneering aerospace and defense company that's been at the forefront of innovation for decades. With a long-standing history of pushing boundaries, we're now shaping the future of cyber and intelligence. Our team is committed to innovating at the Edge, where we harness the latest advancements in Artificial Intelligence and Machine Learning, and cyber technologies to stay ahead of emerging threats and opportunities WHO YOU ARE At Lockheed Martin, you will work with our team of skilled AI/ML Engineers design, create, test, and productize AI/ML algorithms that learn, predict, and make informed Expert knowledge of multiple programming languages (i.e. Python, Java, C++ decisions, meeting the evolving needs of our customers. With strong familiarity with Hadoop, we develop and deploy scalable AI/ML models that integrate with data pipelines, infrastructure, and applications. WHY JOIN US Providing ongoing training, mentorship, and development opportunities to help our cyber and intelligence professionals stay at the forefront of their field and achieve their career goals. Competitive and comprehensive benefits package. Rewards and recognition for your hard work. Medical and dental coverage. 401k retirement savings plan. Paid time off for work/life balance. And more   Designs, develops, documents, tests, and maintains full spectrum cyber solutions. Develops and automates secure systems to support cyber offensive, defense and full spectrum cyber operations.Conducts vulnerability research, reverse engineering, penetration testing (red/blue teams), develops and integrates low-level firmware, and/or develops specialized cyber software solutions and tools based on mission requirements. Applies system knowledge of subject matter (hardware, software, networks, cloud, etc.) to conduct research to evaluate potential vulnerabilities and develop new capabilities to exploit and/or mitigate vulnerabilities.  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 
 Technical Skills: o Strong proficiency in AI/ML frameworks such as TensorFlow, PyTorch, or Hugging Face. o Expertise in model training, evaluation, and deployment. o Hands-on experience with AWS tools like SageMaker, Lambda, EC2, and S3. o Experience in developing full-stack software applications (JavaScript, Python, Java, etc.). o Solid understanding

Listing verified 57m ago. Applications go through the company's official careers site.

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