Data Scientist, Vice President
Tasks
- Build and evaluate models
- Build large language model solutions
- Communicate findings and risks
- Create experimentation frameworks
- Design machine learning solutions
- Develop Agentic AI applications
- Develop NLP solutions
- Develop generative AI applications
- Develop reusable AI assets
- Ensure responsible AI compliance
- Implement retrieval-augmented generation
- Improve explainability
- Integrate models into enterprise platforms
- Mentor junior team members
- Perform data exploration
- Perform feature engineering
- Productionize models
- Set up testing and monitoring
- Support model governance
- Tune and validate models
- Validate model performance
Perks/Benefits
- 401k match
- Dental insurance
- Employee assistance program
- Flexible work/life support
- Health insurance
- Life insurance
- Long-term disability
- Paid time off
- Vision insurance
- Volunteer days
Skills/Tech-stack
APIs | Agentic AI | Amazon Web Services | Apache Spark | Azure | CI/CD | Data Pipelines | Databricks | Embeddings | Experiment tracking | Feature Engineering | Generative AI | Keras | LLMOps | Langchain | Language Models | Language Processing | Large Language Models | Llamaindex | MLOps | Machine Learning | Model Explainability | Model Monitoring | Model versioning | Natural Language | Natural Language Processing | Prompt engineering | PyTorch | Python | RAG | Retrieval-Augmented Generation | SQL | Scikit-learn | Statistical modeling | TensorFlow | Vector Databases | Web Services
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Regions
Countries
States
Cities
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