Data Scientist - Traditional and Generative AI
Tasks
- Analyze datasets
- Apply responsible AI practices
- Build LLM solutions
- Collaborate with stakeholders
- Conduct privacy and security reviews
- Create dashboards and reports
- Deploy machine learning models
- Deploy models to production
- Design data and ML pipelines
- Develop generative AI applications
- Develop machine learning models
- Ensure data quality and governance
- Fine-tune generative models
- Implement MLOps tools
- Implement retrieval-augmented generation
- Mitigate bias
- Monitor model performance
- Perform feature engineering
- Train and evaluate models
- Translate business needs into AI solutions
Perks/Benefits
- 401k match
- Employee assistance
- Flexible spending account
- Health spending account
- Long-term disability
- Medical, dental, vision plans
- Paid Holidays
- Paid family leave
- Paid time off
- Short-term disability
Skills/Tech-stack
Agile | Bayesian analysis | Bias Mitigation | Clustering | Data Analysis | Data Governance | Data Preparation | Databricks | Dataiku | Deep learning | Experimental Design | Exploratory Data Analysis | Feature Engineering | Fine Tuning | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Model Evaluation | Model Monitoring | Natural Language | Natural Language Processing | Neural Networks | Prompt engineering | Python | Reinforcement Learning | Responsible AI | Retrieval-Augmented Generation | SQL | Supervised Learning | Transformers | Unsupervised Learning
Education
Roles
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