Machine Learning Engineer

We are seeking a Machine Learning Engineer to help drive the A&D innovation strategy by applying advanced AI and machine learning techniques to automate and optimize knowledge management processes. The role will focus on building AI-driven solutions and prototypes that improve data accessibility, enhance decision-making, and create scalable tools for ongoing and future divestiture or acquisition activities. Responsibilities: • Design and develop an AI prototype leveraging text embeddings to organize and query structured A&D content. • Build and maintain reusable Python codebases for model training, deployment, and user-facing applications. • Research and implement state-of-the-art AI and NLP models to support automation and predictive analytics. • Enhance existing prototypes with improved feature sets and performance tuning for specific use cases. • Support creation of technical documentation including solution design and implementation guidelines. • Report development progress, risks, and key findings to project leadership on a regular basis. Requirements: • 5+ years of hands-on Python design and development experience. • 3+ years of applied AI and NLP engineering experience. • Bachelor's degree in Computer Science, Information Systems, or related field. • Strong analytical, problem-solving, and critical-thinking abilities. • Effective communication, collaboration, and presentation skills. • Proven ability to evaluate solution options and recommend optimal approaches. • Experience with version control tools and APIs (e.g., Bitbucket, GitHub). • Preferred: Experience in the healthcare or life sciences industry. • Preferred: Experience with cloud environments such as AWS and/or Azure.