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- Design, develop, and train machine learning models using state-of-the-art tools and frameworks.
- Build efficient data pipelines to clean, transform, and prepare large-scale datasets for training.
- Evaluate model performance using appropriate metrics and apply tuning techniques to improve accuracy and efficiency.
- Collaborate with data engineers, software developers, and product stakeholders to define ML solutions that align with business objectives.
- Track experiments, manage model versions, and document model training artifacts for reproducibility.
- Support model deployment by working with SRE and contributing to scalable inference architectures.
- Stay up-to-date with emerging trends and best practices in AI/ML research and tools.
- Proficient in Python and ML-focused libraries such as TensorFlow, PyTorch, scikit-learn, pandas, and NumPy.
- 10+ years of progressive IT experience.
- Experience building and training machine learning models across supervised, unsupervised, and deep learning domains.
- Hands-on experience with model evaluation, hyperparameter turning, and validation strategies.
- Experience with securing data for AI systems.
- Familiarity with experiment tracking and version tools.
- Knowledge of cloud platforms such as AWS.
- Comfortable with GPU/TPU acceleration and resource optimization for large-scale training.
- Ability to clearly explain model decisions and trade-offs to both technical and non-technical audiences.
- Experience working in federal client-facing or consulting roles.
- Experience with transformer models, natural language processing, or computer vision.
- Familiarity with model deployment and containerization tools.
- Exposure to MLOps tools and CI/CD pipelines for model release management.
- Experience working with Federal Secure Cloud Advisory Committee.
AI/ML Training Engineer - Falls Church - General Dynamics Information Technology
Description
Job Title: AI/ML Training Engineer Lead
The role of a Software Development Technical Lead is to transform technology into opportunity by leading the development and deployment of artificial intelligence and machine learning models. This position requires strong expertise in data science, software engineering, and applied mathematics, with hands-on experience in modeling training and deployment workflows.
Key Responsibilities:
Requirements:
Desired Qualifications:
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