Basic Qualifications • Kubernetes Experience, including distributions (OpenShift, Rancher, GKE) • Linux experience, including distributions (RHEL (Red Hat Enterprise Linux), Debian, UNIX, etc) • 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 • Active DoD Secret Clearance Job Code/Title E9873:A/AI Systems Engineer Sr Job 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 mid-career AI Software Engineer for classified deployments for machine learning workload environments and tooling. Your Mission: As a Classified MLOps Deployment Engineer, you will leverage your expertise in Kubernetes and experience deploying machine learning tools in various settings to drive several key initiatives. Your primary focus areas will include deploying tooling in disconnected environments, fostering relationships with classified systems developers, optimizing infrastructure as code and software bills of materials, and providing deployment expertise across the technology stack. Your responsibilities will include the following: • Identifying classified program model training and deployment pain points • Acting as a developer relations lead for classified environment users • Researching, understanding, and deploying third-party and in-house machine learning capabilities for use in classified and disconnected environments • Incorporating deployment lessons learned for improved deployment artifacts • Establishing recommended vision and objectives for MLOps platform disconnected environments support As a mid-level engineer, you'll be a strong fit for this role if you have a solid track record of technical expertise and a growing ability to apply strategic thinking to complex problems. You're able to prioritize tasks, manage multiple projects, and collaborate effectively with internal stakeholders. You're also a motivated and adaptable individual with a proven ability to learn and take on new challenges, and strong communication skills to effectively work with others in a fast-paced and dynamic environment. 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. Lockheed Martin provides the resources and 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! Our Commitment To Diversity And Inclusion: We Hear You, We See You. At LM Enterprise Operations we invest in people and promoting the sharing of ideas to create incredible solutions. We know that our success depends on the combined efforts of diverse-thinkers like you! At LM Enterprise Operations, we cultivate an inclusive environment that appreciates differences and unique thinking. Our global commitment to diversity and inclusion reflects our values of doing what's right, respecting others and performing with excellence. Learn more here: Global Diversity and Inclusion. Further Information About This Opportunity: This is a hybrid role that requires some onsite work at one of the indicated locations. It additionally requires an active DoD Secret Clearance to start. #LMLAIC Desired Skills • Familiarity with Monitoring and Performance, such as Prometheus, Grafana, Dynatrace, Sysdig • Familiarity with public cloud computing services, such as AWS, GCP, Azure • Familiarity with data orchestration, such as Airflow, Prefect, Luigi • Experience with machine learning testing practices and model monitoring • Experience with Programming and Scripting, such as C++, Java, Python, Go, Bash • Strong oral and written communication skills, and ability to collaborate with cross-functional partners • Creative and resourceful when it comes to problem-solving • 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 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 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. Select the Telework classification for this position Employee will telework > = 50% Ability to Telecommute Part time telecommuting 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 Information This position requires a government security clearance, you must be a US Citizen for consideration. Security Clearance Secret LMCareers Business Unit ENTERPRISE BUSINESS SERVICES Program CETO Department 50143:Artificial Intelligence Job Class Information Technology Job Category Experienced Professional City, State Fort Worth-TX, Littleton-CO, Suffolk-VA, SUNNYVALE-CA City Fort Worth, Littleton, Suffolk, Sunnyvale Zip 23435, 76108, 80127, 94089 Virtual yes Relocation/Housing Stipend Available Possible Req Type Full-Time Direct/Indirect Indirect • Join us at , where your mission is ours. Our customers tackle the hardest missions. Those that demand extraordinary amounts of courage, resilience and precision. They’re dangerous. Critical. Sometimes they even provide an opportunity to change the world and save lives. Those 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 challenges. has employees based in many states throughout the U.S., and Internationally, with business locations in many nations and territories. EEO 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. National Pay Statement 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, Washington or Washington DC is $89,600 - $171,800. For states not referenced above, the salary range for this position will reflect the candidate’s final work location. 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. Premium Pay Statement Pay Rate: The annual base salary range for this position in most major metropolitan areas in California and New York is $103,100 - $194,300. 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.
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Job Type
Fulltime role
Skills required
Kubernetes, Docker, CI/CD, Jenkins
Location
Suffolk, Virginia
Salary
No salary information was found.
Date Posted
November 25, 2024
Solution Architect ( AWS, Azure, GCP, Regulatory )
Big World It Solutions limitedRaritan, New Jersey
Big World IT Solutions Limited is seeking a Solution Architect with expertise in AWS, Azure, and GCP, focusing on regulatory compliance and cloud technology. The role involves designing scalable cloud solutions and guiding organizations through their cloud journey.
AWS Cloud Architect- Remote with preference to candidates in the Reston VA area.
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Lockheed Martin is seeking a mid-career AI Engineer for classified MLOps deployment in Suffolk, Virginia. The role focuses on leveraging Kubernetes and machine learning tools in disconnected environments.