A/AI Machine Learning Engineering - E2
Tasks
- Curate and label datasets
- Develop and debug MLOps workflow for tactical systems
- Exercise machine learning lifecycle at customer sites
- Generate datasets for system testing
- Iteratively improve model performance
- Train machine learning models
- Validate and analyze algorithm results
Perks/Benefits
- 401k match
- Dental insurance
- EAP
- Education assistance
- Flexible spending accounts
- Flexible work arrangements
- Life insurance
- Long-term disability
- Medical insurance
- Paid Holidays
- Paid time off
- Parental leave
- Short-term disability
- Vision insurance
Skills/Tech-stack
C++ | CI/CD | CUDA | Cloud Computing | Data Curation | Data labeling | Deep learning | DevOps | Docker | High Performance | High-Performance Computing | Inference Server | KServe | Kubernetes | Linux | MLOps | Machine Learning | NVIDIA Libraries | Performance Computing | Python | Triton Inference | Triton Inference Server
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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