Sr. Data Scientist- AI Model Development
Tasks
- Build automated testing and regression frameworks
- Compare custom transformer models with foundation model adapters
- Create technical design documents and experiment reports
- Define and document adapter contracts and deployment assumptions
- Define training validation and benchmarking datasets
- Design develop experiment validate deploy AI models from telemetry data
- Design evaluation frameworks for model quality calibration and performance
- Develop and fine tune LoRA and QLoRA adapters
- Mentor engineers and data scientists on model training and fine tuning
- Solve technical challenges in machine learning and predictive modeling
Perks/Benefits
- 401k
- Dental insurance
- Health insurance
- Life insurance
- Paid Holidays
- Paid vacation
- Personal and professional growth
- Profit sharing
- Vision insurance
Skills/Tech-stack
Adapter | Behavioral Modeling | Benchmarking | Efficient Fine Tuning | Fine Tuning | Foundation Model | Graph Database | Graph analytics | Latency optimization | LoRA | MLOps | Machine Learning | Memory Optimization | Model Evaluation | Model calibration | ONNX Runtime | Parameter efficient fine-tuning | Predictive Analytics | PyTorch | QLoRA | Ranking Systems | Recommendation Systems | Retrieval-Augmented Generation | Sequence Modeling | Telemetry Analytics | Throughput Optimization | Transformer
Education
Roles
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