Data Scientist/ AI Engineer
Tasks
- Build data lakes
- Build data warehouses
- Create AI agent workflows
- Create reusable assets demos and proof of concepts
- Deploy AI models to production
- Deploy and optimize models using MLOps
- Design data pipelines
- Design generative AI solutions
- Develop predictive AI models
- Implement authentication and token handling
- Integrate AI apps with REST APIs
- Maintain AI models in production
- Manage data drift
- Manage model drift
- Monitor model performance
- Troubleshoot model issues
Perks/Benefits
- Company-Paid Holidays
- Disability insurance
- Employee assistance program
- Health insurance
- Life insurance
- Paid time off
- Retirement savings plan
Skills/Tech-stack
AI Agents | API Development | Agentic Workflows | Authentication | Cloud Platforms | Data Engineering | Error Handling | Generative AI | HTTP | JSON | Langchain | MLOps | Machine Learning | Model Monitoring | PyTorch | Python | RAG | REST APIs | Retrieval-Augmented Generation | Scikit-learn | TensorFlow
Education
Roles
AI | AI Engineer | Data Scientist | Engineer | Scientist
Regions
Countries
States
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