Beyond New Horizons (BNH) is seeking a Machine Learning/AI Software Developer to support the Test Operations and Sustainment contract at Arnold Air Force Base, TN. The role involves leveraging data to drive decisions through AI modeling techniques for test technique development, facility modeling for control automation, and predictive maintenance.
Requirements
- 1+ year hands on coding experience in Python, C, Java, R, or other relevant languages designing, developing, and implementing machine learning models and algorithms
- 1+ year experience in software development building AI/ML products and applications using Generative Artificial Intelligence technologies such as RAG patterns, ReAct, LangChain, etc. For performing document summarization, knowledge graphs, information extraction, or analysis
- Familiarity or experience with any/all of the following: AI learning libraries and frameworks such as TensorFlow, PyTorch, NumPy, or Scikit-learn
- Familiarity or experience with any/all of the following: Development lifecycle methodologies such as Agile DevSecOps.
- Familiarity or experience with any/all of the following: Data extraction tools and processes, data ingestion, ETL, SQL, data mining, API’s and data warehousing.
- Familiarity or experience with any/all of the following: Working with and creating AI architectures
- Familiarity or experience with any/all of the following: Cloud solutions such as AWS, Azure, Google Cloud for building and deploying applications and cybersecurity principles as they apply to AI
Responsibilities
- Design, develop, and implement machine learning models and algorithms to solve specific problems
- Build and maintain scalable and robust machine learning pipelines for data ingestion, preprocessing, model training, evaluation, and deployment
- Utilize test data sources to optimize data analytics at AEDC and suggest ways which insights obtained might be used to inform testing sustainment and operational strategies
- Experiment with different machine learning techniques and algorithms to identify the most effective approaches for given problems and evaluate model performance using appropriate metrics and iterate on models to improve accuracy, efficiency, and scalability
- Utilize machine learning tools to select features, create, and optimize classifiers.
- Identify and assess the effectiveness of data engineering, data sources and data gathering techniques.
- Participate in AI proof-of-concept projects and experiments to explore new applications and technologies.
Other
- Current U.S. Citizenship is required
- Must be able to obtain and maintain a Department of Defense Secret level security clearance and access to the AEDC local area network
- NOTE: This position is specifically for those with less than 5 years’ relevant experience post degree.
- It is a condition of employment to wear company issued PPE (Personal Protective Equipment) in accordance with supervisory direction and company policy.
- Coordinate with different multidisciplinary teams to implement models and monitor outcomes.
