Senior AI Research Scientist (6240)
Tasks
- Analyze structured and unstructured data for actionable insights
- Communicate insights through internal reports
- Design and implement AI machine learning and data science tools
- Develop machine learning and deep learning algorithms for business problems
- Develop predictive models for business outcomes
- Evaluate and refine model performance
- Lead data science and data engineering teams
- Perform code reviews and demos
- Publish research in leading AI conferences and journals
Perks/Benefits
Skills/Tech-stack
Adversarial Learning | Attention Networks | Dash | Data Preprocessing | Data Wrangling | Deep learning | Direct Preference Optimization | Entity Resolution | Entity recognition | Few-Shot Learning | Few-shot | Foundation Models | Graph Attention Networks | Graph Neural Networks | Graph transformers | Information Retrieval | Knowledge Distillation | Language Models | Large Language Models | Low-Rank Adaptation | Machine Learning | Model Evaluation | Named Entity Recognition | Network Embedding | Network Science | Neural Networks | Neural information retrieval | Policy Optimization | Power BI | Preference optimization | Prompt Tuning | Prompt engineering | Proximal Policy Optimization | Python | React | Reinforcement Learning | Retrieval-Augmented Generation | Self-Supervised Learning | Self-supervised | Sentiment Analysis | Series forecasting | Streamlit | Supervised Learning | Text Analytics | Time Series | Time Series Forecasting | Topic Modeling | Unsupervised Learning
Education
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