AI Engineer
BNH
- Tennessee
- $75,775-128,900 per year
- Permanent
- Full-time
- Development and implement artificial intelligence (AI) strategies and programs.
- 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.
- Automate manual processes, optimizing data delivery, re-designing infrastructure for greater scalability.
- Utilize machine learning tools to select features, create, and optimize classifiers.
- Evaluate and guide AI solutions proposed to the AI Operating Committee, ensuring compliance with governance standards.
- 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.
- Coordinate with different multidisciplinary teams to implement models and monitor outcomes.
- Define & develop processes and tools to monitor and analyze model performance and data accuracy.
- It is a condition of employment to wear company issued PPE (Personal Protective Equipment) in accordance with supervisory direction and company policy.
- Identify and complete projects associated to data-engineering.
- Performs other related duties as required.
- BS in Computer Science, Statistics, Mathematics, Engineering or another relevant engineering field from an accredited university program.
- Current U.S. Citizenship is required.
- 3+ years of professional experience in software development and/or AI-related roles and applications
- Master’s in computer science, Statistics, Mathematics, Physics, Engineering or another relevant engineering field from an accredited university program.
- Familiarity with AI frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- Experience with development lifecycle methodologies such as Agile DevSecOps.
- Experience with data scripting language software like Python, Java, C++, or Ruby and SQL.
- Experience with data extraction tools and processes, data ingestion, ETL, data mining, API’s and data warehousing.
- Knowledge of APIs, cloud platforms (e.g., AWS, Azure, Google Cloud), and cybersecurity principles as they apply to AI.
- Experience working with and creating AI architectures.
- Knowledge of a variety of machine learning techniques and their real-world advantages/drawbacks.
- Coding knowledge and experience with multiple languages
- Competitive salaries
- Continuing education assistance
- Multiple healthcare benefits packages
- 401K with employer matching
- Paid time off (PTO) along with a federally recognized holiday schedule
- Competitive salaries
- Continuing education assistance
- Multiple healthcare benefits packages
- 401K with employer matching
- Paid time off (PTO) along with a federally recognized holiday schedule