Staff AI Scientist
INR 2500K-5000K (estimate) Senior-level Full Time
Tasks
- Build AI pipelines integrating enterprise data systems and APIs
- Build and optimize LLM applications
- Conduct advanced AI research
- Create GAN based solutions for synthetic data
- Design prototype validate novel AI algorithms
- Develop Agentic AI systems
- Develop and fine-tune machine learning models
- Develop evaluation standards guardrails and human in the loop processes
- Develop generative AI applications for multimodal outputs
- Experiment with model training evaluation benchmarking optimization
- Implement responsible AI governance and risk controls
- Implement retrieval-augmented generation pipelines
- Lead data cleaning feature engineering dataset curation and annotation
- Mentor junior scientists and ML engineers
- Support data privacy security and ethical AI compliance
- Use AWS Bedrock for foundation model applications
- Use AWS SageMaker for model training tuning deployment
Perks/Benefits
- N/A
Skills/Tech-stack
AWS Bedrock | AWS SageMaker | Agent systems | Agentic AI | Autonomous Agents | Benchmarking | Bias Mitigation | Data Modeling | Data Quality | Data Warehousing | Deep learning | Embeddings | Entity recognition | Explainability | Fairness | Feature Engineering | Fine Tuning | GAN | Generative AI | Human-in-the-loop | Hyperparameter Tuning | Inference Optimization | Keras | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Model Alignment | Model Compression | Model Evaluation | Model Governance | Monitoring | Multi-Agent | Multi-Agent Systems | Multimodal AI | Named Entity Recognition | Natural Language | Natural Language Processing | NoSQL | Observability | Privacy | Prompt engineering | PyTorch | Python | Question Answering | RAG | Reinforcement Learning | Retrieval-Augmented Generation | SQL | Safety controls | Security | Self-Supervised Learning | Self-supervised | Semantic Retrieval | Semantic Search | Sentiment Analysis | Summarization | Supervised Learning | TensorFlow | Text Classification | The Loop | Transformers | Unsupervised Learning
Education
Regions
Countries
States
Cities
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