Skills

Communication Python GitLab CI/CD DevOps Docker Kubernetes Problem-solving Machine Learning PyTorch Scikit-Learn TensorFlow Deep Learning Programming git Artificial Intelligence Keras Gitlab CI Kafka GitLab CI/CD OpenCV gRPC

Job Specifications

AI Engineer Sr - Reinforcement Learning (hybrid, Fort Worth) | Fort Worth, TX | Hybrid

We're working with Lockheed Martin on this exciting opportunity.

Join Lockheed Martin's Artificial Intelligence Center (LAIC) team to revolutionize AI solutions from prototype to deployment. You'll develop cutting-edge software products that leverage reinforcement learning and advanced machine learning techniques to provide discriminating capabilities to customers.

The Role

• Develop software products implementing Artificial Intelligence for cutting-edge solutions

• Engage in all phases of the system development lifecycle, including requirements, design, implementation, and testing

• Participate in proof of concepts, prototypes, demonstrators, and production transitions

• Leverage computer science paradigms like object-oriented programming, data structures, and algorithms

• Develop code to solve complex problems and field innovative solutions

What You'll Need

• Experience with reinforcement learning and machine learning techniques such as Q-Learning, Deep Q-Learning, or PPO

• Expertise with deep learning libraries including PyTorch, Torch, Keras, TensorFlow, scikit-learn, or OpenCV

• Strong proficiency in Python for complex problem-solving and innovative solution development

• Familiarity with DevOps tools (Docker/Podman, Git, GitLab CI/CD) and software orchestration (Kubernetes, Helm)

• Experience with messaging protocols (Kafka, ActiveMQ, ZeroMQ, DDS) and communication protocols (REST, gRPC)

What's On Offer

• Flexible work schedules and comprehensive benefits package

• Empowering environment to think big, lead with a growth mindset, and make an impact

• Resources and flexibility to inspire and focus your passion for innovation

• 4x10 hour day work week, providing three days off per week

Apply via Haystack today!

About the Company

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