Senior Data Scientist
US-Nationwide-FIELD, United States
USD 121K-173K Senior-level Full Time
Tasks
- Architect and build generative AI systems
- Build agentic AI systems
- Deploy and monitor production ML models
- Develop and implement RAG Pipelines
- Develop machine learning forecasting classification and risk prediction models
- Evaluate retrieval performance in RAG systems
- Foster data-driven decision-making culture
- Lead design development and deployment of AI solutions
- Mentor data scientists and ML engineers
- Shape AI development strategy on Google Cloud Platform
- Translate business needs into AI powered solutions
Perks/Benefits
- 401k savings plan
- Flexible spending accounts
- Health savings account
- Healthy Lifestyle Programs
- Long-term disability
- Medical, dental, and vision coverage
- Paid parental leave
- Paid time off
- Short-term disability
- Work-life resources
Skills/Tech-stack
Agile | CI/CD | Cloud Storage | Cloud platform | DevSecOps | Embeddings | Generative AI | Google Cloud | Google Cloud Platform | HIPAA | IAM | Kanban | Language Models | Large Language Models | MLOps | MLflow | Machine Learning | PyTorch | Python | RAG evaluation | RESTful APIs | Retrieval-Augmented Generation | Scikit-learn | Scrum | Service accounts | TensorFlow | Vector Databases | VertexAI
Education
Roles
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