Senior Data Scientist
USA - Seattle, WA, United States
USD 162K-234K Senior-level Full Time
Tasks
- Assess and recommend ML tools and platforms
- Communicate project strategy and updates to stakeholders
- Define ML and AI strategy
- Design, build and optimize machine learning models
- Develop generative AI use cases
- Ensure ethical guidelines and data privacy compliance
- Integrate ML models into production systems
- Lead ML architecture development
- Lead adoption of machine learning platforms and workflows
- Monitor and optimize ML models for performance
- Partner with stakeholders for problem statements and success metrics
Perks/Benefits
- Flexible spending accounts
- Health insurance
- Health savings accounts
- Life and disability insurance
- Paid time away from work
- Retirement savings plans
Skills/Tech-stack
AI architecture | AIOps | AWS | Artificial Intelligence | Azure | Big Data | CI/CD | Cloud Architecture | Cloud Computing | Cloud platform | Computer Vision | Data Engineering | Data Pipelines | Data Warehousing | DevOps | Docker | Feature Engineering | Generative AI | Google Cloud | Google Cloud Platform | Hybrid AI | Hybrid AI Architecture | Kubernetes | Language Models | Large Language Models | MLOps | Machine Learning | Model Deployment | Multi-cloud | Multi-cloud architecture | NLP | Predictive Analytics | Prescriptive Analytics | Prompt engineering | Python | Reinforcement Learning | Retrieval-Augmented Generation | Unix/Linux | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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