Senior Scientist – AI/ML
INR 3000K-5000K (estimate) Senior-level Full Time
Tasks
- Build and evaluate retrieval augmented generation and LLM agentic systems
- Build end to end prototypes using Python and Flask
- Conduct pilot studies and validation with domain experts
- Define evaluation frameworks for accuracy robustness interpretability
- Deploy scalable solutions using Docker and cloud native environments
- Design and implement machine learning algorithms for structured and unstructured data
- Develop modular reusable ML pipelines
- Develop prompt engineering frameworks and multi agent workflows
- Establish responsible AI explainability and regulatory best practices
- Integrate physics informed models with data driven approaches
- Lead design and development of novel AI ML solutions
- Mentor junior scientists and engineers
- Provide technical leadership on architecture and design decisions
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | Agent systems | Anomaly Detection | Cloud Platforms | Data Pipelines | Deep learning | Docker | Explainability | Flask | Generative AI | Interpretability | Language Models | Large Language Models | Machine Learning | Microservices | Multi-Agent | Multi-Agent Systems | Physics-informed modeling | Pipeline Orchestration | Predictive Analytics | Prompt engineering | Python | Responsible AI | Retrieval-Augmented Generation | Semi-Supervised Learning | Semi-supervised | Series analysis | Supervised Learning | Time Series | Time Series Analysis | Traceability | Unsupervised Learning
Education
Regions
Countries
States
Cities
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