Senior Data Scientist
Tasks
- Analyze agent failures and propose improvements
- Build and ship agentic systems
- Create reusable agent platform foundations
- Develop domain specific agents and retrieval pipelines
- Establish evaluation infrastructure with offline and live telemetry
- Implement multi agent coordination and planning frameworks
- Partner with subject matter experts to create agent instructions and feedback loops
Perks/Benefits
- N/A
Skills/Tech-stack
BERT | CrewAI | Data Pipelines | Feature Engineering | Fine Tuning | KL divergence | Langchain | Langgraph | Language Models | Large Language Models | LoRA | Model Evaluation | NLP | NoSQL | PEFT | Python | RAG | RL | RLAIF | RLHF | Retrieval-Augmented Generation | SQL | Sequence Modeling | Statistical modeling | Supervised Learning | Word Embeddings
Education
Bachelor of Science | Master of Science | Master of Science in Computer Science | Master of Science in Data Science | Master of Science in Statistics | PhD
Roles
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