Senior Data Scientist
Tasks
- Build and deploy Generative AI models
- Build and deploy predictive AI models
- Collaborate with business and technical teams
- Communicate AI outcomes to technical and non technical stakeholders
- Deploy, monitor, and optimize AI models in production
- Design AI powered applications and APIs
- Design and maintain data pipelines data lakes and data warehouses
- Develop AI agents and agentic workflows
- Implement model monitoring for data drift
Perks/Benefits
- Employee assistance program
- Health, dental, vision insurance
- Life and disability insurance
- Paid time off
- Retirement savings plan
Skills/Tech-stack
AI Agents | AWS | AWS ECS | AWS EKS | AWS Fargate | Azure | Azure DevOps | CI/CD | Databricks | Docker | GCP | HTTP | JSON | Langchain | MongoDB | Multimodal AI | MySQL | Neo4j | PySpark | PyTorch | Python | RAG | REST | Redis | SQL | Scikit-learn | TensorFlow
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
Data Scientist | Engineer | GenAI Engineer | Scientist | Senior Data Scientist
Regions
Countries
States
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