Staff AI Scientist
INR 2500K-5000K (estimate) Senior-level Full Time
Tasks
- Apply responsible AI principles
- Assess model risks and hallucinations
- Build RAG pipelines
- Build and fine-tune foundation model applications
- Conduct AI research
- Create evaluation and guardrails
- Deploy and monitor models
- Design AI algorithms and architectures
- Develop AI pipelines for production
- Develop Agentic AI systems
- Develop novel ML and DL models
- Implement LLM applications
- Implement data cleaning and preprocessing
- Implement fairness explainability and privacy controls
- Implement multi-agent systems
- Mentor scientists and engineers
- Optimize prompts for LLMs
- Perform feature engineering
- Prototype and validate AI workflows
- Publish research and patents
- Train evaluate and benchmark models
- Use tool calling and function calling
Perks/Benefits
- N/A
Skills/Tech-stack
AWS Bedrock | AWS Lambda | AWS SageMaker | Agentic AI | Amazon S3 | Artificial Intelligence | Bias Mitigation | Data Annotation | Data Preprocessing | Data Quality | Data Warehousing | Deep learning | Embeddings | Entity recognition | Explainability | Fairness | Feature Engineering | Fine Tuning | Foundation Models | GANs | Generative AI | Guardrails | Hallucination mitigation | Human-in-the-loop | Hyperparameter Tuning | Keras | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Model Compression | Model Evaluation | Model Governance | Model Optimization | Model Serving | Multimodal AI | Named Entity Recognition | Natural Language | Natural Language Processing | NoSQL | Privacy | Prompt engineering | PyTorch | Python | Question Answering | Reinforcement Learning | Responsible AI | Retrieval-Augmented Generation | Risk Assessment | SQL | Self-Supervised Learning | Self-supervised | Semantic Search | Sentiment Analysis | Summarization | Supervised Learning | TensorFlow | Text Classification | The Loop | Transformers
Education
Roles
Regions
Countries
States
Cities
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