Senior Applied AI Engineer
Cambridge 300 Technology Square, United States
USD 160K-266K Senior-level Full Time
Tasks
- Architect model integrations and model serving APIs
- Deliver AI and ML solutions for drug discovery and business needs
- Design and deploy machine learning models and AI tools
- Develop agentic AI systems and LLM based applications
- Embed with research and business teams for time limited engagements
- Implement privacy ethics and regulatory compliant AI
- Prototype AI use cases and validate proof of concepts
- Run workshops and training to increase AI literacy
- Transfer knowledge and reusable AI patterns
Perks/Benefits
- Health care and insurance benefits
- Paid Holidays
- Paid caregiver/parental leave
- Paid medical leave
- Retirement benefits
- Vacation
Skills/Tech-stack
AWS | Agent systems | Azure | CI/CD | Causal Inference | Code review | Computer Vision | Deep learning | Docker | Documentation | Experiment tracking | Feature Engineering | GCP | Git | JAX | Knowledge graphs | Kubernetes | LLM | Language Processing | MLflow | Machine Learning | Model Evaluation | Model Monitoring | Multi-Agent | Multi-Agent Systems | Natural Language | Natural Language Processing | NumPy | Pandas | PyTorch | Python | RAG | Scikit-learn | TensorFlow | Testing | Weights and Biases
Education
Regions
Countries
States
Cities
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