Data Scientist
Tasks
- Architect develop deploy agentic generative AI applications
- Build and maintain MLOps pipelines
- Deploy and maintain applications in cloud environments
- Develop responsive front end user interfaces
- Ensure data integrity and solution quality
- Evaluate benchmark and ensure LLM output quality and safety
- Integrate cloud AI tools into workflows
- Translate vehicle engineering problems into AI solutions
Perks/Benefits
- Dental insurance
- Flexible work options
- Health insurance
- Paid parental leave
- Paid time off
- Tuition assistance
- Vision insurance
Skills/Tech-stack
AIOps | API Design | Agentic Workflows | Artificial Intelligence | Data Modeling | Docker | FastAPI | Flask | Generative AI | Go | GraphQL | HTML | Hugging Face | JavaScript | Keras | Kubernetes | LLM Evaluation | LLMOps | Langchain | Langgraph | Language Models | Language Processing | Large Language Models | MLOps | MLOps pipelines | Machine Learning | Model Context Protocol | Natural Language | Natural Language Processing | Next.js | NoSQL | Node.js | PyTorch | Python | REST | React | SQL | TensorFlow | Terraform | TypeScript | Vertex AI
Education
Roles
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