Applied Scientist II
INR 1600K-2000K (estimate) Mid-level Full Time Found 10d ago
Tasks
- Analyze data for AI quality
- Build AI prototypes
- Collaborate across teams
- Debug and support MLOps/AIOps
- Deploy production AI solutions
- Design and develop generative AI solutions
- Develop AI solutions
- Develop and evaluate ML models
- Document experiments and methodologies
- Ensure responsible AI practices
- Fine-tune foundation models
- Guide product monitoring and alerting
- Identify and mitigate AI ethics and bias risks
- Identify gaps in AI performance
- Leverage research for product innovation
- Monitor and adapt model behavior
- Prepare and analyze data for machine learning
- Research and implement state-of-the-art AI models
- Share research findings
- Translate research into practical solutions
Perks/Benefits
Skills/Tech-stack
AI | Agent architectures | CI/CD | Classical machine learning | Data Analysis | Deep learning | Foundation Models | Generative AI | Langchain | Language Models | Language Processing | Large Language Models | Large Scale Computing | MLOps | Machine Learning | Model Debugging | Model Deployment | Model Evaluation | Monitoring | Multi-Agent | Multi-agent architectures | Natural Language | Natural Language Processing | Open Source | Open Source Libraries | Optimization Techniques | Prompt engineering | PromptFlow | Python | Retraining Pipelines | Scale Computing | Statistical tools
Education
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