The lockheed martin artificial intelligence center (laic) team is seeking an inquisitive developer responsible for investigating and implementing services that enhance mlops deployment as a part of the ai factory, an enterprise machine learning and artificial intelligence (ml/ai) platformThe selected candidate will focus on model test, optimization, monitoring, and explainabilityThe selected candidate will also contribute to a broad range of projects across the enterprise to increase machine learning availability and value to lockheed martin.
The selected candidate’s responsibilities will include:
Identifying existing model test and deployment pain points
Researching, understanding, and evaluating third-party or in-house technology solutions
Developing relationships with third-party technology providers
Supporting evaluation initiatives by implementing and evaluating model test and monitoring software solutions
Collaborating with mlops, data, and infrastructure teams
Presenting evaluation outcomes and recommend enterprise-wide solution next steps
The selected candidate can work at any major lockheed martin facility or remotely (in the us)Must be a us citizen.
Bachelor`s degree in engineering, computer science, or a related discipline from an accredited college – or equivalent experience, with 2 years of professional experience; or a related master`s degree
Experience with machine learning testing practices and model monitoring
Experience with programming and scripting, such as c++, java, python, go, bash
Familiarity with or research in model explainability, optimization, adversarial testing, or ai ethics
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 attitudeYou 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
Must be a us citizen
Experience with optimization, assessing model performance
Experience with model explainability
Familiarity with model adversarial testing techniques
Experience with verification & validation of software
Interest in and experience researching ethical implementations of machine learning
Experience with data validation, ml training tests, model staleness tests, model performance tests, tpms, integration tests, and unit tests
Familiarity with kubernetes, including distributions (openshift, rancher, gke)
Familiarity 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
Knowledge of devsecops and cloud native software development practices
Knowledge of common machine learning frameworks, such as tensorflow, torch, sci-kit
Familiarity with public cloud computing services, such as aws, gcp, azure
Familiarity with package management, such as helm, kustomize
Familiarity with monitoring and performance, such as prometheus, grafana, dynatrace, sysdig
Knowledge of machine learning architectures, including gpu computing, high performance computing (hpc)
Knowledge of ml/ai orchestration, such as kubeflow, opendatahub.io, or domino
Knowledge of data orchestration, such as airflow, prefect, luigi
Is an equal opportunity/affirmative action employerAll 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.
Join us at , where your mission is oursOur customers tackle the hardest missionsThose that demand extraordinary amounts of courage, resilience and precisionThey’re dangerousCriticalSometimes they even provide an opportunity to change the world and save livesThose 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 challengesHas employees based in many states throughout the u.s., and internationally, with business locations in many nations and territories.