AI/ML Engineer III
Englewood, CO - CO RMS, United States
USD 124K-171K Senior-level Full Time
Tasks
- Apply supervised unsupervised reinforcement and generative learning
- Architect and build AI ML prototypes end to end
- Architect scalable AI/ML systems
- Collaborate with engineers and data scientists
- Design and execute simulations and modeling for AI ML systems
- Develop and oversee validation and testing frameworks
- Develop signal processing computer vision and planning algorithms
- Integrate AI ML components into products and autonomous systems
- Lead design and development of machine learning models
- Manage technical risks for prototypes
- Mentor engineering peers in AI ML practices
- Prepare and execute demonstrations and technical briefings
- Train fine-tune and optimize AI models
- Translate leadership guidance into requirements and designs
Perks/Benefits
- N/A
Skills/Tech-stack
Agile | Autonomous Systems | C# | C++ | CPU | CUDA | Computer Vision | Cybersecurity | Data Ingestion | Data Versioning | Deep Neural Networks | Deep learning | DevOps | Embedded Systems | Feature Engineering | GPU | Generative AI | Generative Modeling | High Performance | High-Performance Computing | Java | Learning algorithms | MLOps | Machine Learning | Model Deployment | Model Evaluation | Model Validation | Neural Networks | Performance Computing | PyTorch | Python | Real Time | Real-time Systems | Reinforcement Learning | Reinforcement learning algorithms | Signal Processing | Supervised Learning | TensorFlow | TensorRT | Time Systems | Training pipelines | Transformers | Unsupervised Learning
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI | AI/ML Engineer | Engineer | ML Engineer
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