Data Scientist - Manager
Tasks
- Build knowledge graphs and embeddings
- Collaborate on production deployments
- Communicate findings and best practices
- Design evaluation frameworks and metrics
- Detect anomalies and benchmark models
- Implement inference engines for semantic search and reasoning
- Lead model evaluation and fine tuning
- Optimize prompts with data curation and governance
- Own AI ML problem statements and objectives
- Run experiments and analyze results
Perks/Benefits
- Employee networks
- Flexible work/life support
- Inclusive development opportunities
- Paid volunteer days
Skills/Tech-stack
AWS | Anomaly Detection | Azure | Embeddings | Fine Tuning | GCP | Generative AI | Graph Databases | Knowledge graphs | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Model Evaluation | Natural Language | Natural Language Processing | Neo4j | Prompt engineering | PyTorch | Python | RAG | Scikit-learn | TensorFlow | Vector Stores
Education
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