AI Software & System Architect Lead; on-site, Moorestown NJ

Basic Qualifications

• Bachelor’s Degree in Engineering, Computer Science, or other related discipline
• Skilled in training and analysis steps in a modern MLOps pipeline such as: labeling, local and global explainability, model export and serialization, conformance testing, deployment, and monitoring
• Experience with Dev Ops tools:
  Docker, Git [Git Lab, Git Hub], Continuous Integration [CI], Continuous Deployment [CD]
• Skilled in Python and multiple libraries (Num Py, Sci Py, Pandas, etc.)
• Ability to obtain a Secret government security clearance

E9844:

A/AI SW & Sys Architct Stf

Are you ready to join a team that's pushing the boundaries of innovation and making a real impact in the field of artificial intelligence? The Lockheed Martin Artificial Intelligence Center (LAIC) team is seeking a highly motivated and skilled individual to support the Applied AI team and radar track processing product portfolio, Dev Sec Ops , software, data science, data at scale, artificial intelligence, and are passionate about working on a broad range of projects that can make a real difference, we want to hear from you.

• Leading the monitoring and maintenance of fielded AI capabilities and developing new capabilities to enhance ML monitoring and continuous update processes for deployed systems
• Analyzing customer data and assessing ML model performance to identify areas for improvement
• Developing and updating ML models to address evolving operational requirements
• Collaborating with cross-functional teams to rapidly iterate and mature solutions
• Providing continuous maintenance for deployed products using machine learning operations paradigms

You are a highly motivated and skilled individual with:

• A strong working knowledge of radar systems engineering, signal processing, Dev Sec Ops , software, data science, data at scale, artificial intelligence, and machine learning
• Excellent self-motivation, work ethic, time management, and interpersonal skills
• The ability to work effectively in a team environment and collaborate with cross-functional teams
• A strong understanding of machine learning operations paradigms and experience with continuous maintenance of deployed products
• The ability to obtain and maintain a security clearance
• A US Citizenship requirement due to the nature of the work
• Ability to work on site at LM Moorestown between 50% and full time, with occasional off‑hours work required to meet mission requirements

• Master’s Degree in Engineering, Computer Science, or other related discipline
• Skilled in leading long-term programs related to software and machine learning
• Experience interfacing with databases (SQL, Mongo
  
  DB, etc.)
• Experience with machine learning model training and analysis through open-source frameworks (Pytorch, Tensorflow, Sklearn, Keras, etc)
• Experience with Rust, C++, and other compiled languages
• Experience with test events or integration activities
• Experience coordinating long term program execution across organizations
• Skilled in serving as an external spokesperson on significant technical matters related to software, machine learning, and radar systems

By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings.

Part-time Remote Telework:
The employee selected for this position will work part of their work schedule remotely and part of their work schedule at a designated Lockheed Martin facility. The specific weekly schedule will be discussed during the hiring process.

Part time telecommuting

First

4x10 hour day, 3 days off per week

This position requires a government security clearance, you must be a US Citizen for consideration.

Secret

Yes

Full-Time

Indirect

Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics.

The application window will close in 90 days; applicants are encouraged to apply within 5-30 days of the requisition posting date in order to receive optimal consideration.