Staff AI/ML Engineer
Tasks
- Analyze multi-domain datasets
- Create technical documentation
- Implement machine learning algorithms
- Provide training and mentoring
- Review research publications
- Support model deployment with AWS services
- Understand training and deployment pipelines
Perks/Benefits
- Continuing education
- Flexible time off
- Health care
- Learning and development
- Retirement benefits
- Wellness
Skills/Tech-stack
AWS | CUDA | Containerization | Cupy | Deep learning | Deep learning architectures | Docker | EC2 | GANs | Git | Graph Data | Image classification | Kubernetes | LLM | Lambda | Language Processing | Learning architectures | Lightning | Linux | Machine Learning | Natural Language | Natural Language Processing | NumPy | Numba | Object Detection | OpenCV | Podman | Polars | PyTorch | Python | Reinforcement Learning | S3 | Series analysis | Supervised Learning | Time Series | Time Series Analysis | Transformers | Unsupervised Learning | Version control | YOLO
Education
Roles
AI/ML Engineer | Engineer | ML Engineer | Staff AI & ML Engineer
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