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