Sr. Data Scientist, Applied AI/ML
Tasks
- Build advanced machine learning models
- Collaborate on product ready engineering
- Conduct LLM applications reasoning summarisation interactivity
- Deploy models at scale
- Design efficient maintainable solutions
- Develop AI safety solutions
- Develop cyber detection solutions
- Drive LLM research and development
- Evaluate and benchmark models
- Lead research strategy for genai agents and llms
- Manage data sourcing and data labeling
- Mentor data scientists
- Optimize trade offs between accuracy efficiency and cost
- Perform end to end research and development
- Publish and present technical work
- Select genai model architectures and training approaches
- Set technical standards and evaluation frameworks
Perks/Benefits
- Paid adoption leave
- Paid parental leave
- Professional development opportunities
- Volunteer opportunities
- Wellness programs
Skills/Tech-stack
Benchmarking | Cloud technologies | Data labeling | Deep learning | Evaluation | GPU Optimization | Generative AI | LLM Training | Language Models | Large Language Models | Machine Learning | Model Deployment | Post-training | Python
Education
Roles
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