MLOps Lead - AI Factory Core - Military Veterans
at Lockheed Martin Corporation
Description:When it comes to using cutting-edge machine learning to tackle complex problems, Lockheed Martin is driven by a singular mission focus and desire to continuously innovate. Today’s challenges to global security aren’t just changing – they’re accelerating faster than ever before. Through our dedication to our mission, our AI-enabled systems are changing the way militaries operate and protect their forces, the way first responders fight fires, and how researchers explore the far reaches of space and the ocean’s depths.
The Lockheed Martin Artificial Intelligence Center (LAIC) team is seeking a high energy AI/ML MLOps Engineer to support enterprise Machine Learning and Artificial Intelligence platforms. In this role, you will lead the development and operations of the AI Factory Platform and applications for AI Factory's centrally managed clusters.
The selected candidate will:
• Lead a team to build and scale MLOps systems to enable LM’s AI/ML platforms
• Integrate machine learning libraries and operational frameworks into an end-to-end environment
• Partner with AI/ML practitioners to solve complex problems and design unique solutions
* Guide the development and operation of AI Factory central clusters
• Must be a US Citizen
Basic Qualifications:
• Bachelor’s Degree in Engineering, Computer Science, or other related discipline
• Proven leadership experience in engineering assignments and successful proven results in leading and executing on infrastructure-intensive programs
• Proven experience leading virtual teams
• Experience with Programming and Scripting, such as C++, Java, Python, Go, Bash
• Experience with Containers, including Open Container Initiative (OCI) and Docker
• Experience with Pipeline Automation, such as ArgoCD, Tekton, GitLab CI/CD, Jenkins
• Experience with Collaboration Tools, such as Slack, Confluence, GitLab
• Experience with Package Management, such as Helm, Kustomize
• Knowledge of DevSecOps and Cloud Native software development practices
• Knowledge of common machine learning frameworks, such as TensorFlow, Torch, Sci-kit
• Knowledge of Machine Learning Architectures, including GPU Computing, High Performance Computing (HPC)
• Knowledge of ML/AI orchestration, such as Kubeflow, Flyte, MLflow
Desired Skills:
* Familiarity with Monitoring and Performance, such as Prometheus, Grafana, Dynatrace, Sysdig
• Familiarity with public cloud computing services, such as AWS, GCP, Azure
• Strong oral and written communication skills, and ability to collaborate with cross-functional partners
• Creative and resourceful when it comes to problem-solving
• A passionate can-do attitude. You are not afraid to try, learn, and improve
• Ability to work with internal stakeholders to collect feedback, prioritize tasks, and manage the engineering backlog
• Self-motivated, self-directed, and the ability to thrive in a fast-paced environment in an industry that constantly changes
• Empathy for teammates/users and a desire to make their work frictionless and more efficient
• Passion for building things that are useful
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: Full-time Remote Telework: The employee selected for this position will work remotely full time at a location other than a Lockheed Martin designated office/job site. Employees may travel to a Lockheed Martin office for periodic meetings.
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
Pay Rate:
The annual base salary range for this position in most major metropolitan areas in California and New York is $166,700 - $314,100. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate’s work experience, education/ training, key skills as well as market and business considerations when extending an offer.
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.
This position is incentive plan eligible.
Pay Rate:
The annual base salary range for this position in California and New York (excluding most major metropolitan areas), Colorado, Hawaii, Washington or Washington DC is $145,000 - $277,900 . Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer.
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) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year.
This position is incentive plan eligible.
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: ENTERPRISE BUSINESS SERVICES
Relocation Available: No
Career Area: Artificial Intelligence
Type: Full-Time
Shift: First
Littleton, CO
![Lockheed Martin Corporation](https://rm-core-production.s3.amazonaws.com/logos/1124/large_LM-500x500.jpg)
At Lockheed Martin, veterans are at the center of everything we do — in fact, one in five of our employees has served in uniform. We are proud to help men and women like you successfully transition into civilian careers. Join us and you will find opportunities to take on the same kind of long-term challenging assignments you tackled while in the military.