Base-2 Solutions is seeking an AI/ML Engineer responsible for building, training, fine-tuning, and evaluation advanced language models.
Requirements
- Strong proficiency in AI/ML frameworks such as TensorFlow, PyTorch, or Hugging Face
- Expertise in model training, evaluation, and deployment
- Hands-on experience with AWS tools like SageMaker, Lambda, EC2, and S3.
- Experience in developing full-stack software applications (JavaScript, Python, Java, etc.)
- Solid understanding of data structures, algorithms, and system design
- Experience with model evaluation, optimization, and performance monitoring
- Experience with standard machine language frameworks, e.g. Pytorch, TensorFlow.
Responsibilities
- Build, train, and fine-tune machine learning models, particularly language models
- Apply best practices in model training, tuning, and optimization
- Design and implement solutions for model performance improvement
- Conduct rigorous model evaluation, including performance analysis and benchmarking
- Perform error analysis, debugging, and model diagnostics to ensure quality and reliability
- Work with cloud-based AI platforms (especially AWS Sagemaker) to deploy and scale models
- Integrate machine learning models into production environments ensuring seamless integration with other systems
Other
- Top Secret/SCI with Full Scope Polygraph
- US Citizenship Required?: Yes
- Two (2) years experience in applied machine learning in programs and contracts of similar scope, type, and complexity is required.
- A Master's or Ph.D. degree in advanced math, artificial intelligence, data science, computer science or deep learning from an accredited college or university.
- Experience working in a government or defense-related environment is highly preferred
