AI/ML Applied Data Scientist - Generative AI
USD 121K-208K (estimate) Mid-level Full Time
Tasks
- Assess groundedness
- Automate agent scoring
- Build tool-using agents
- Capture session spans
- Close loop between traces and development
- Convert production failures into eval cases
- Create offline and online evaluation harnesses
- Design multi-step agent workflows
- Develop foundation models
- Fine-tune foundation models
- Implement human-in-the-loop patterns
- Instrument agents with tracing
- Integrate models into SAP solutions
- Measure task success
- Measure tool call accuracy
- Measure trajectory quality
- Run regression testing
Perks/Benefits
- N/A
Skills/Tech-stack
Context Management | Deep learning | Deep reinforcement learning | Efficient Fine Tuning | Fine Tuning | Function Calling | Human Feedback | Human-in-the-loop | Langfuse | Langgraph | Language Models | Large Language Models | Learning from Human Feedback | LoRA | MLflow | PEFT | Parameter efficient fine-tuning | Prompt engineering | PyTorch | Python | QLoRA | Quantization | Reinforcement Learning | Reinforcement Learning from Human Feedback | Structured outputs | TensorRT-LLM | The Loop | Tool-Calling | VLLM | Weights and Biases
Education
Regions
Countries
States
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