AI Machine Learning Engineer, Senior​/Orlando, FL Security Clearance

Position: AI Machine Learning Engineer, Senior / Orlando, FL with Security Clearance
Job Number 710297

Description:

You will be a Analytics / Machine Learning Engineer in our Software Engineering organization. Lockheed Martin is a global security and aerospace company that employs approximately 114,000 people worldwide and is principally engaged in the research, design, development, manufacture, integration and sustainment of advanced technology systems, products and services. Lockheed Martin Missiles and Fire Control (MFC) is one of four Lockheed Martin business areas.

MFC is a recognized designer, developer and manufacturer of precision engagement aerospace and defense systems for the U.S. and allied militaries. MFC develops, manufactures and supports advanced products for military customers that include the U.S. Army, Navy, Air Force, Marine Corps, NASA and dozens of foreign allies. MFC also offers a wide range of products and services for the global civil nuclear power industry and the military's green power initiatives.

What You Will Be Doing As a Analytics / Machine Learning Engineer, your responsibilities will include:

- Leverage advanced analytics, web development, data engineering, and machine learning to drive data-driven decision-making across MFC engineering and production
- Apply advanced statistical techniques, machine learning algorithms, and data visualization methods to identify trends, patterns, and correlations in data from engineering development and production sources
- Develop, implement, and advocate for AI-powered solutions Key responsibilities will include:

• Collaborate with researchers and engineers to identify opportunities for AI/ML applications and develop proof-of-concepts

• Establish rigorous standards for ML Ops strategies for various programs and applications

• Maintain AI/ML systems, including data pipelines, model training, optimization, and deployment

• Stay current with the latest advancements in AI/ML, including new algorithms, techniques, and tools

• Collaborate with external partners, including academia and industry, to advance ML Ops research and applications Why Join Us Do you want to be part of a company culture that encourages employees to build their career, leverage their knowledge while using cutting edge technology, and achieve challenging goals? We provide the foundation and resources to help you stay motivated, inspired, and productive.

If you are driven, dedicated, and enjoy doing what you love, then we want you to join our journey and build a better tomorrow with you. This position is onsite in Orlando, Florida. We offer flexible work schedules to comprehensive benefits investing in your future and security, Learn more about Lockheed Martin's comprehensive benefits package here. Further Information About This Opportunity:
This position is in Orlando. Discover more about our Orlando, Florida location. 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.

Basic Qualifications:

• Master's or Ph.D. degree in Computer Science, Electrical Engineering, or a related field

• 3+ years of experience in AI/ML research and deployment, with a strong background in ML Ops

• Proficiency in programming languages such as Python and C++

• Experience with AI/ML frameworks and libraries, including Tensor Flow, PyTorch, and scikit-learn

• Software development skills, with experience in version control systems
• Ability to obtain an interim secret security clearance prior to start and therefore must be US Citizen.
Desired

Skills:

• Experience with ML pipeline packages such as Flyte, Kubeflow pipelines, and MLFlow

• Strong communication and collaboration skills, with the ability to work effectively in a team environment

• Experience with data storage libraries such as Feathr and LakeFS

• Familiarity with containerization using Docker and Kubernetes

• Strong understanding of statistical modeling and machine learning techniques.

• Experience with agile development methodologies and version control systems

• Experience in deployment of AI and statistical algorithm systems on high performance compute infrastructure

• Experience with AI/ML ethics, fairness, and…