Lockheed Martin
A/AI Software & System Architect Sr (DevSecOps)
Lockheed Martin, Moorestown, New Jersey, United States
Overview
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, DevSecOps, 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. Responsibilities
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 Who you are / Qualifications
A strong working knowledge of radar systems engineering, signal processing, DevSecOps, 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 Basic Qualifications
Bachelor’s Degree in Engineering, Computer Science, or other related discipline Experience with large dataset management and machine learning Proficiency in Python and related libraries (e.g. NumPy, Pandas) Knowledge of MLOps pipeline and modern machine learning techniques Ability to obtain a Secret government security clearance Desired Skills
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, MongoDB, 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 Security Clearance
This position requires a government security clearance, you must be a US Citizen for consideration. Clearance Level
Secret Other Information
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. If matched, you may be contacted for this and future openings. Ability to Work Remotely: Part-time Remote Telework. The employee will work part of their schedule remotely and part at a designated Lockheed Martin facility. Specific weekly schedule will be discussed during the hiring process. Work Schedules: Lockheed Martin supports a variety of alternative work schedules. Schedules range from standard 40 hours over five days to condensed schedules. Schedule for this Position: 4x10 hour days, 3 days off per week Compensation & Benefits
Pay Rate: The annual base salary range for this position in California and New York (excluding most major metropolitan areas), Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, Vermont, Washington or Washington DC is $97,100 - $171,235. For other locations, salary ranges reflect final work location. This is a general guideline; offers depend on scope, experience, education, and market considerations. Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays. (Washington state applicants only) PTO and holiday entitlements are described in policy; PTO, Vacation, sick leave, and holidays are prorated based on start date. Incentive plan eligibility Equal Opportunity
Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics. Application Window
The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date to receive optimal consideration.
#J-18808-Ljbffr
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, DevSecOps, 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. Responsibilities
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 Who you are / Qualifications
A strong working knowledge of radar systems engineering, signal processing, DevSecOps, 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 Basic Qualifications
Bachelor’s Degree in Engineering, Computer Science, or other related discipline Experience with large dataset management and machine learning Proficiency in Python and related libraries (e.g. NumPy, Pandas) Knowledge of MLOps pipeline and modern machine learning techniques Ability to obtain a Secret government security clearance Desired Skills
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, MongoDB, 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 Security Clearance
This position requires a government security clearance, you must be a US Citizen for consideration. Clearance Level
Secret Other Information
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. If matched, you may be contacted for this and future openings. Ability to Work Remotely: Part-time Remote Telework. The employee will work part of their schedule remotely and part at a designated Lockheed Martin facility. Specific weekly schedule will be discussed during the hiring process. Work Schedules: Lockheed Martin supports a variety of alternative work schedules. Schedules range from standard 40 hours over five days to condensed schedules. Schedule for this Position: 4x10 hour days, 3 days off per week Compensation & Benefits
Pay Rate: The annual base salary range for this position in California and New York (excluding most major metropolitan areas), Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, Vermont, Washington or Washington DC is $97,100 - $171,235. For other locations, salary ranges reflect final work location. This is a general guideline; offers depend on scope, experience, education, and market considerations. Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays. (Washington state applicants only) PTO and holiday entitlements are described in policy; PTO, Vacation, sick leave, and holidays are prorated based on start date. Incentive plan eligibility Equal Opportunity
Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics. Application Window
The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date to receive optimal consideration.
#J-18808-Ljbffr