Senior Applied Scientist
Bengaluru, KA, IN
INR 3200K-4600K (estimate) Senior-level Full Time Found 12d ago
Tasks
- Address scalability and performance issues
- Analyze data for ML
- Build AI impact partnerships
- Build prototypes and deploy solutions
- Debug and support MLOps/AIOps
- Design and develop generative AI solutions
- Develop reliable research code
- Evaluate model performance
- Fine-tune foundation models
- Formulate strategic AI plans
- Identify AI gaps and insights
- Leverage deep AI expertise
- Maintain documentation
- Mitigate ethical and security risks
- Monitor and adapt models to data shifts
- Research and implement cutting-edge models
- Share industry insights
- Train and evaluate models
- Translate research into practical solutions
Perks/Benefits
- N/A
Skills/Tech-stack
AI Development | AI development tools | AIOps | Agent architectures | Classical machine learning | Data Analysis | Deep learning | Development tools | Foundation Models | Generative AI | Graph Models | Langchain | MLOps | Machine Learning | Model Evaluation | Model Tuning | Multi-Agent | Multi-Modal | Multi-agent architectures | Multi-modal Models | NLP | Prompt engineering | PromptFlow | PyTorch | Python | Research Methodology | Scalability frameworks | Scikit-learn | Statistical tools | TensorFlow
Education
Bachelor's | Master's | PhD
Language: en |
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