AI/ML Engineer

Lockheed Martin Corporation is seeking a highly skilled leader to head the AI Consulting portfolio. This role requires a unique blend of technical expertise in software engineering and AI/ML, focusing on collaboration and innovation to develop and deploy AI solutions that drive business value across the enterprise.

Responsibilities:

• Collaborating with business stakeholders to identify opportunities and develop AI solutions
• Modeling complex business and engineering problems using machine learning and feature engineering techniques
• Deploying AI capabilities and tracking projects through to completion
• Implementing best technical practices from the fields of machine learning and software engineering
• Creating knowledge materials to disseminate best practices to other AI and data science teams
• Meeting with data science leaders to teach and discuss best practices

Requirements:

• Bachelor's degree in Engineering, Computer Science, or a related field, with at least 5 years of professional experience. Alternatively, a Master's degree with 3 years of professional experience
• Significant experience in applying machine learning techniques to business problems (natural language processing, deep learning, anomaly detection, reinforcement learning)
• Experience with Python, Typescript, or compiled languages like C++, Golang, etc
• Experience with developing software and software engineering best practices
• Must be a US Citizen
• Strong analytical and problem-solving skills
• Programming knowledge and experience with machine learning and software engineering
• Excellent communication skills to understand business needs and communicate the value of AI models
• Business focus and creative thinking to quickly cycle hypotheses through the discovery phase of projects
• Ability to work collaboratively with cross-functional teams and drive projects through to completion
• Experience working with Agile methodologies and projects
• Superlative communication and interpersonal skills
• Master's degree or higher in Engineering, Computer Science, or a related field
• Experience with cloud platforms (e.g., AWS, Google Cloud, Azure), specifically containerizing and deploying AI/ML models
• Certifications in AI/ML or related fields (e.g., TensorFlow Developer Certificate, AWS Certified Machine Learning)
• Experience leading a team of researchers and engineers
• Familiarity with common Python libraries used for developing reinforcement learning applications: Gymnasium, rllib, Stable Baselines, RL Coach, etc
• Experience with the design, implementation, and evaluation of models, agents, and software prototypes for real-world AI
• Proven ability to bridge fundamental research into products
• History of addressing real-world problems by integrating novel research