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Lockheed Martin is looking for a leader in AI/ML to join their AI Consulting team in Denver. This position involves utilizing cutting-edge machine learning to tackle global security challenges and helping shape the future of AI applications across various fields, from defense to data engineering. You will contribute to strategic projects while collaborating with experts from multiple domains in a dynamic and innovative environment.
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Lensa is the leading career site for job seekers at every stage of their career. Our client, Lockheed Martin Corporation, is seeking professionals in Denver, CO. Apply via Lensa today!
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 leader with hands-on experience in software engineering and AI/ML to lead and grow the AI Consulting portfolio for the business. In this role you will be part of the AI Foundations team consisting of colleagues possessing varying skill sets including AI/Machine Learning specialists, front-end and back-end developers, data engineers, product managers, and other data scientists. The selected candidate will focus on the AI Consulting team but will be included as part of a broader range of projects across the LAIC portfolio. The team is focused on exploiting small, innovative, and agile teams to rapidly iterate and mature solutions from prototypes to deployment for utilization across the Lockheed Martin enterprise.
The LAIC AI Consulting Team’s mission includes serving as a center of excellence for AI at Lockheed Martin. The candidate will work to disseminate best practices of the AI Consulting Team to other AI and data science teams in the corporation. The candidate will be required to create knowledge materials to publish these best practices, as well as meet with other data science leaders in Lockheed Martin to teach and discuss these practices.
The responsibilities of this position include collaboration with business stakeholders to identify business opportunities and requirements to develop associated statistical models that deliver useful, actionable recommendations, or which augment human capabilities in various work settings. The candidate is responsible for modeling complex business and engineering problems, discovering insights and deploying AI capabilities using machine learning and associated feature engineering techniques. Responsibilities also include tracking projects and driving work on them through to completion, as well as implementing best technical practices from the fields of machine learning and software engineering.
The candidate will need a combination of business focus, creative thinking, strong analytical and problem solving skills, and programming knowledge to be able to quickly cycle hypotheses through the discovery phase of the project. Excellent communications skills to understand the needs of the business, and to communicate the value of the models built back to the business.
Domestic travel may be required when travel resumes (approx. 10%).
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.
Basic Qualifications
Bachelor’s Degree in Engineering, Computer
Science from an accredited college in a related
discipline, or equivalent experience, with 2 years
of professional experience; or a related Master’s
degree
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