Artificial Intelligence Machine Learning Engineer (HYBRID TELEWORK)

Location
Orlando, Florida
Salary
Open
Posted
Oct 21, 2024
Closes
Dec 20, 2024
Ref
679206BR#OJ-LockheedMartin.1
Industry
Technology
Category
IT
Workplace
In-Office
Job ID: 679206BR Date posted: Oct. 21, 2024
Description:WHAT WE'RE DOING

We are building the next generation of Supply Chain Analytics Platforms to enhance operational efficiencies and decision-making for over 1200 RMS Supply Chain professionals and our +1LMx team members. By leveraging advanced data analytics, artificial intelligence, and machine learning, we're solving complex problems and pushing the boundaries of innovation in the defense industry. Join us as we build cutting-edge tools that shape the future of our supply chain and beyond.

THE WORK

As a member of our dynamic team of data investigators, you'll play a pivotal role in identifying opportunities and addressing critical challenges. Your expertise in advanced data analytics and front-end development, along with AI/ML knowledge, will help drive impactful solutions. You'll engage with stakeholders, explore new avenues for innovation, and contribute to groundbreaking intellectual property. Together, we'll develop first-of-its-kind demonstrators that redefine what's possible in supply chain analytics.

WHO WE ARE

At Lockheed Martin, we're dedicated to solving the toughest challenges facing our world today. We're a global leader in technology, aerospace, and defense, committed to advancing the fields of AI, machine learning, and data analytics. Our teams are made up of passionate, driven individuals who are committed to pushing boundaries, delivering excellence, and creating the future of defense and security. If you're looking to make a difference in a company where innovation meets impact, you'll find your place with us.

WHO YOU ARE

You're an influential data expert who thrives in dynamic environments. Your experience with AI/ML, combined with your ability to communicate effectively with stakeholders, sets you apart. You enjoy tackling new problems and are always on the lookout for opportunities to innovate. You're passionate about contributing to cutting-edge advancements in supply chain analytics and have a strong track record of turning insights into impactful solutions.

WHY JOIN US

By joining our team, you'll have the opportunity to make a meaningful difference for a global supply chain network. You'll be at the forefront of technological innovation, working on projects that push the envelope of what's possible in analytics, AI, and machine learning. This is your chance to influence the future of supply chain operations and be part of a transformative journey.
Basic Qualifications:
• Bachelor's Degree in Software Engineering, Computer Science, or other related discipline
• Experience developing with machine learning frameworks (Pytorch, Tensorflow, MxNet, Caffe, Keras, etc.)
• Experience with Python and multiple libraries (NumPy, OpenCV, Scikit, Pandas, SciPy, etc.)
• Experience with large dataset analysis and visualization
Desired Skills:
• Master's Degree in Engineering, Computer Science, or other related discipline with a specialization in Artificial Intelligence
• Experience with Linux application development
• Experience with DevOps tools: Docker, Git [GitLab, GitHub], Continuous Integration [CI], Continuous Deployment [CD], unit testing frameworks (e.g., Pytest, Unittest)
• Experience with modern Computer Vision
• Experience with training deep neural networks and other AI algorithms
• Experience with C++, Java, and other compiled languages
• Experience with RF signal processing
• Experience with analog and digital signal processing
• Experience working on radar systems, antennas, and arrays
• Familiarity with high-performance computing
• Familiarity with network/messaging (UDP, ZeroMQ, RESTful API, etc.)
• Familiarity interfacing with databases (SQL, MongoDB, etc.)
• Familiarity with software defined radios
• Previous LM Supply Chain experience
Clearance Level: None
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: 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.
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/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
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.
At Lockheed Martin, we use our passion for purposeful innovation to help keep people safe and solve the world's most complex challenges. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work.

With our employees as our priority, we provide diverse career opportunities designed to propel, develop, and boost agility. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work. We place an emphasis on empowering our employees by fostering an inclusive environment built upon integrity and corporate responsibility.

If this sounds like a culture you connect with, you're invited to apply for this role. Or, if you are unsure whether your experience aligns with the requirements of this position, we encourage you to search on Lockheed Martin Jobs, and apply for roles that align with your qualifications.
Experience Level: Experienced Professional
Business Unit: RMS
Relocation Available: No
Career Area: Artificial Intelligence
Type: Full-Time
Shift: First

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