Senior Data Scientist - AI Research & Reliability
Tasks
- Analyze large scale conversation data for insights
- Apply NLP and LLM approaches to capture intent and nuance
- Apply RAG fine tuning clustering and agentic workflows
- Build AI capabilities at scale
- Build Python pipelines to create proprietary datasets
- Design agent architectures and success metrics
- Design and execute experiments and POCs
- Design build and evaluate sub agents tools retrieval and memory systems
- Develop AI systems to reason over unstructured data
- Develop evaluation frameworks and benchmarks
- Extract intent and trends from conversations at scale
- Implement retrieval memory reasoning and evaluation for agent experiences
- Integrate LLM powered solutions into production systems
- Perform experimental analysis and translate findings into product improvements
- Train and evaluate machine learning models
- Translate customer and business needs into AI solutions
Perks/Benefits
- Cross-functional collaboration
- Flexible work arrangement
- Hybrid work model
- Opportunity for ownership and impact
Skills/Tech-stack
Agentic Workflows | Clustering | Data Analysis | Experiment design | Fine Tuning | LLM Evaluation | Langchain | Language Models | Language Processing | Large Language Models | Machine Learning | Memory systems | Natural Language | Natural Language Processing | NumPy | Pandas | PyTorch | Python | RAG | Retrieval | Scikit-learn | Transformers
Education
Roles
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