AI Platform Engineer (early career)

Basic Qualifications

• Bachelor’s Degree in Engineering, Computer Science, or other related discipline
• Experience with Programming and Scripting, such as C++, Java, Python, Go, Bash
• Experience with Pipeline Automation, such as ArgoCD, Tekton, GitLab CI/CD, Github Actions, Jenkins
• Knowledge of DevSecOps and Cloud Native software development practices
• Knowledge of common machine learning frameworks, such as TensorFlow, Torch, Sci-kit

Job Code/Title

E9852:A/AI Mch Learn Engnr

Job Description

The Lockheed Martin Artificial Intelligence Center (LAIC) team is seeking an experienced AI Platform Engineer to support enterprise Machine Learning and Artificial Intelligence systems. In this role, you will be creating products across the AI/ML lifecycle including development, deployment, and integration into other products. The selected candidate will focus on delivery of our core AI/ML platform offerings. Additionally, they will contribute to a broad range of projects across the enterprise to increase machine learning availability and value to Lockheed Martin.

The selected candidate will:

• Build and scale Kubernetes-based machine learning operations (MLOps) platforms and associated environments which enable thousands of engineers across LM and customer communities

• Integrate machine learning libraries and operational frameworks into an end-to-end environment

• Full-stack development and support of MLOps-centric software, integrating RESTful web-services

• Work with AI/ML practitioners to solve complex problems and create unique solutions

• Continuously evaluate the latest packages and frameworks

• Create documentation and best practices to share with the AI/ML community

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.

Desired skills

• Experience with Containers, including Open Container Initiative (OCI) and Docker
• Experience with Collaboration Tools, such as Slack/Teams, Confluence, GitLab
• Experience with Kubernetes Package Management, such as Helm, Kustomize
• Knowledge of Machine Learning Architectures, including GPU Computing, High Performance Computing (HPC)
• Knowledge of ML/AI orchestration, such as Kubeflow, Flyte, MLflow
• 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
• 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

Other Important Information

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.

Select the Telework classification for this position

Employee that will telework full-time

Shift

First

Work Schedule Information

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.

Work Schedule

4x10 hour day, 3 days off per week

Security Clearance

None

LMCareers Business Unit

ENTERPRISE BUSINESS SERVICES

Department

50143:Artificial Intelligence

Job Class

Artificial Intelligence

Job Category

Experienced Professional

City, State

Fort Worth-TX, Littleton-CO, Shelton-CT

City

Fort Worth, Littleton, Shelton

Zip

06484, 76108, 80127

Virtual

yes

Relocation/Housing Stipend Available

No

Req Type

Full-Time

Direct/Indirect

Indirect