Principal AI/ML Scientist
Tasks
- Advise on modern machine learning best practices
- Apply reinforcement learning methods
- Build knowledge graph solutions
- Collaborate with product teams
- Collaborate with university partners
- Conduct diagnostic analytics
- Conduct predictive analytics
- Conduct prescriptive analytics
- Design cognitive AI architecture
- Develop agentic AI solutions
- Develop autonomous agents applications
- Develop generative AI systems
- Drive large language model research
- Lead AI research strategy
- Lead LLM fine tuning research
- Mentor research scientists and engineers
- Publish AI ML findings
- Represent organization at conferences
- Research responsible AI methods
- Translate requirements into analytical approach
Perks/Benefits
Skills/Tech-stack
AI research | Deep learning | Diffusion Models | Generative AI | Keras | Knowledge graph | Language Models | Language Processing | Large Language Models | Machine Learning | Natural Language | Natural Language Processing | NumPy | PyTorch | Reinforcement Learning | Responsible AI | SHAP | Scikit-learn | Series analysis | TensorFlow | Time Series | Time Series Analysis | Transformers
Education
Bachelor of Science | Master of Engineering | Master of Science | PhD
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