Health Science AI and ML Engineer
USA, MD, Bethesda (4747 Bethesda Ave), United States
USD 77K-176K Mid-level Full Time Found 11d ago
Tasks
- Automate pipelines for training, validation, and deployment
- Build tools for experimentation and reproducibility
- Collaborate on data preparation and model selection
- Design, validate, and deploy workflows in cloud environments
- Develop APIs for AI/ML models
- Develop and optimize AI/ML algorithms
- Introduce advanced AI/ML techniques such as XAI and reinforcement learning
- Scale solutions using distributed computing and containerization
- Support collaboration between data scientists and researchers
Perks/Benefits
- Disability benefits
- Health benefits
- Life benefits
- Paid leave
- Professional development
- Retirement benefits
- Tuition assistance
- Work-life programs
Skills/Tech-stack
API Development | Automated Pipelines | Azure | Bioinformatics | Biological Data | Biological Data Processing | Cloud Computing | Computational Biology | Containerization | Data Analysis | Data Processing | Databricks | Deep learning | Distributed Computing | Explainable AI | Git | Imaging Data Analysis | Imaging data | Kubernetes | Model Deployment | Model Evaluation | Probabilistic Modeling | PyTorch | Python | R | Reinforcement Learning | TensorFlow
Education
Bachelor's Degree in Science | Bioinformatics | Computational Biology | Master's degree in CS | Science
Roles
Language: en |
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