Data Scientist
Tasks
- Apply responsible AI governance
- Collaborate in agile cross-functional teams
- Deliver actionable insights to stakeholders
- Develop AI and ML models
- Evaluate and validate AI and ML models
- Identify AI ML opportunities for stakeholders
- Implement MLOps and LLMOps frameworks
- Lead end-to-end AI/ML projects
- Perform bias and fairness testing
- Use large language models and generative AI
Perks/Benefits
Skills/Tech-stack
Agentic AI | Bias and fairness | Bias and fairness testing | Data Visualization | Databricks | Deep learning | Fairness testing | Generative AI | Ggplot2 | Git | Jupyter Notebooks | Keras | LLMOps | Language Models | Language Processing | Large Language Models | MLOps | Matplotlib | Microsoft Azure | Natural Language | Natural Language Processing | Neural Networks | Power BI | Python | R | Responsible AI | SQL | Scikit-learn | Shell Scripting | Statistical modeling | Supervised Learning | Tableau | TensorFlow | Unsupervised Learning
Education
Roles
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