AI/ML Engineer Level 2
Actively Hiring
Full-time $210k - $225k Posted 6 months ago
Responsibilities
- check_circle Research, design, and implement a broad range of AI and machine learning algorithms and tools.
- check_circle Select and curate appropriate data sets and data representations to support model development.
- check_circle Perform statistical analysis to inform model design and performance evaluation.
- check_circle Develop, train, retrain, and optimize machine learning models using frameworks such as PyTorch and TensorFlow.
- check_circle Execute test and evaluation protocols to verify and validate AI/ML algorithms through iterative design cycles.
- check_circle Use evaluation results to refine models and improve accuracy, robustness, and performance.
- check_circle Provide system integration oversight to ensure AI/ML solutions transition successfully into production environments.
- check_circle Transform data science prototypes into scalable, maintainable, and operational solutions.
- check_circle Verify data integrity, model outputs, and performance quality.
- check_circle Identify and address data distribution shifts and other factors that impact model performance over time.
- check_circle Apply knowledge of software architecture, data modeling, and data structures to support enterprise integration.
Basic qualifications
- Active TS/SCI w/ Polygraph with this Customer.
- Master’s degree or PhD with 5+ years of relevant experience in AI, machine learning, or data science.
- Hands-on experience with machine learning frameworks such as PyTorch and TensorFlow.
- Strong background in statistical analysis and machine learning algorithm development.
- Experience working with a variety of ML libraries and packages.
- Demonstrated experience supporting test, evaluation, verification, and validation (TEVV) of AI/ML systems.
- Ability to transition models from research or prototype environments into scalable production systems.
Preferred qualifications
- Experience integrating AI/ML solutions into mission or enterprise systems.
- Familiarity with model monitoring, drift detection, and performance degradation analysis.
- Experience working in classified, regulated, or high-reliability environments.
Tags & Focus Areas
Fulltime Ai Ai Engineer Machine Learning Pytorch Tensorflow