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**Description:** The Lockheed Martin Artificial Intelligence Center \(LAIC\) team is seeking a high energy individual with a strong working knowledge in radar systems engineering, signal processing, data science, artificial intelligence and machine learning to support the Applied AI team and product portfolio, focusing on a broad range of projects across the LAIC\. The team is focused on exploiting small, innovative and agile teams to rapidly iterate and mature solutions from prototypes to deployment for utilization across the Lockheed Martin enterprise and leveraging machine learning operations paradigms to provide continuous maintenance for deployed products\.

The selected candidate for this role will focus on the monitoring and maintenance of fielded AI capabilities and on the development of new capabilities to enhance ML monitoring and continuous update processes for deployed systems\. Activities will span analysis of customer data, ML model performance assessments, ML model updates, & new capability development to address evolving operational requirements\.

Must exhibit self\-motivation, a strong work ethic, time management and interpersonal skills\.

The selected candidate is required to work at major Lockheed Martin facilities that support relevant customer platforms including LM Moorestown, Valley Forge, Colorado, and Orlando between 50% and full time on site depending on mission needs\. Off hours work is occasionally required to meet mission requirements to support updates to and real time monitoring of customer mission systems\. Flexible hours are available outside these requirements\.

What’s In It For You

From onsite to remote, we offer flexible work schedules to comprehensive benefits investing in your future and security, 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 dream big, work hard, and have fun doing what you love then we want to build a better tomorrow with you\.

Must be a US citizen\.

\#LMLAIC

Basic Qualifications:

• Bachelor’s Degree in Engineering, Computer Science, or other related discipline

• Experience with large dataset management, exploration, visualization, and analysis

• Experience with machine learning model training and analysis through open\-source frameworks \(Pytorch, Tensorflow, Sklearn, Keras, etc\)

• Experience with Python and multiple libraries \(NumPy, SciPy, Pandas, etc\.\)

• Basic knowledge of training and analysis steps in a modern MLOps pipeline including labeling, local and global explainability, model export and serialization, conformance testing, deployment, and monitoring

• Familiarity with radar systems engineering, radar track processing, and general digital signal processing

• Ability to obtain a Secret government security clearance

Desired Skills:

• Master’s Degree in Engineering, Computer Science, or other related discipline

• Experience with DevOps tools: Docker, Git \[GitLab, GitHub\], Continuous Integration \[CI\], Continuous Deployment \[CD\]

• Familiarity interfacing with databases \(SQL, MongoDB, etc\.\)

• Experience with modern Computer Vision

• Experience with C\+\+, Java, GO, and other compiled languages

• Experience developing applications on Linux

• Familiarity with network/messaging \(UDP, ZeroMQ, RESTful API, etc\.\)

• Familiarity with high\-performance computing

**Security Clearance Statement:** This position requires a government security clearance, you must be a US Citizen for consideration\.

**Clearance Level:** Secret

Other Important Information You Should Know

**Expression of Interest:** 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\.

**Ability to Work Remotely:** Onsite Full\-time: The work associated with this position will be performed onsite at a designated Lockheed Martin facility\.

**Work Schedules:** Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees\. Schedules range from standard 40 hours over a five day work week while others may be condensed\. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits\.

**Schedule for this Position:** 4x10 hour day, 3 days off per week

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\.

Join us at , where your mission is ours\. Our customers tackle the hardest missions\. Those that demand extraordinary amounts of courage, resilience and precision\. They’re dangerous\. Critical\. Sometimes they even provide an opportunity to change the world and save lives\. Those are the missions we care about\.

As a leading technology innovation company, ’s vast team works with partners around the world to bring proven performance to our customers’ toughest challenges\. has employees based in many states throughout the U\.S\., and Internationally, with business locations in many nations and territories\.

**Experience Level:** Experienced Professional

**Business Unit:** ENTERPRISE BUSINESS SERVICES

**Relocation Available:** Possible

**Career Area:** Artificial Intelligence

**Type:** Full\-Time

**Shift:** First