Applied AI Scientist, Agentic AI
Tasks
- Build predictive generative and optimization models
- Conduct experiments and analyze results
- Deploy models and support production systems
- Develop AI driven features and insights
- Develop machine learning and AI models
- Document results and communicate findings
- Ensure data privacy security and responsible AI
- Evaluate generative AI and agent based systems
- Monitor model performance and data quality
- Perform data preprocessing and feature engineering
- Prototype and test new AI approaches
- Support model validation and documentation
- Test and deploy AI models
- Translate business requirements into technical solutions
- Write clean, maintainable code
Perks/Benefits
- 401k match
- Dental insurance
- Employee assistance program
- Flexible schedule
- Health insurance
- Life insurance
- Paid parental leave
- Paid time off
- Tuition reimbursement
- Vision insurance
Skills/Tech-stack
A2A protocol | Accuracy | Agentic AI | Autogen | CrewAI | Data Preprocessing | Deep learning | Feature Engineering | Generative AI | GitHub Copilot | LLM Evaluation | Langchain | Langgraph | Language Models | Large Language Models | Latency | MCP | Machine Learning | Model Monitoring | OpenAI Codex | PyTorch | Python | RAG | Reliability | TensorFlow
Education
Roles
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