Staff AI Scienitist
INR 2500K-5000K (estimate) Senior-level Full Time
Tasks
- Apply SQL NoSQL database modeling and data warehousing for training inference
- Assess mitigate risks from foundation models LLM outputs hallucinations drift adversarial misuse unsafe automation
- Build AI pipelines with enterprise data systems APIs cloud services
- Build finetune optimize ML DL models
- Build foundation model applications using AWS Bedrock
- Conduct advanced AI research
- Create generative AI applications foundation models for text image code synthetic data multimodal
- Design prototype validate novel AI algorithms architectures workflows
- Develop GAN based solutions for synthetic data image synthesis anomaly simulation data augmentation
- Develop agentic AI systems task planning tool usage workflow orchestration memory retrieval decision support
- Develop deploy LLM powered applications conversational AI summarization semantic search knowledge assistants intelligent automation
- Implement Responsible AI practices fairness explainability privacy governance bias mitigation
- Implement guardrails evaluation standards governance frameworks human in the loop
- Lead experimentation across model training evaluation benchmarking optimization
- Mentor junior scientists ML engineers data professionals
- Perform data cleaning feature engineering dataset curation annotation strategies
- Publish research findings patents technical thought leadership
- Support compliance with data privacy security ethical AI requirements
- Train tune deploy monitor models using AWS SageMaker
Perks/Benefits
- N/A
Skills/Tech-stack
AI Agents | AWS Bedrock | AWS SageMaker | Agent systems | Agentic AI | Bias Mitigation | Data Warehousing | Data cleaning | Database Modeling | Deep learning | Embeddings | Entity recognition | Evaluation Frameworks | Explainability | Fairness | Feature Engineering | Fine Tuning | Function Calling | GANs | Generative AI | Governance | Grounding | Guardrails | Hallucination mitigation | Human-in-the-loop | Hyperparameter Tuning | Keras | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Memory design | Model Alignment | Model Compression | Model Evaluation | Model Monitoring | Model Serving | Model Training | Multi-Agent | Multi-Agent Systems | Multi-step Planning | Multimodal AI | Named Entity Recognition | Natural Language | Natural Language Processing | NoSQL | Observability | Privacy | Prompt Optimization | Prompt engineering | PyTorch | Python | Question Answering | RAG | Reliability Engineering | Retrieval systems | Retrieval-Augmented Generation | Risk Assessment | SQL | Safety controls | Semantic Retrieval | Sentiment Analysis | Summarization | TensorFlow | Text Classification | The Loop | Tool use | Transformers
Education
Regions
Countries
States
Cities
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