Senior AI/ML Applied Scientist
Primary location: Hyderabad, India
INR 3000K-5000K (estimate) Senior-level Full Time
Tasks
- Apply RAG using retrieval augmented generation
- Build NLP NLU NLG and time series forecasting systems
- Collaborate with research, engineering, and product teams
- Deploy machine learning models
- Design next generation NLP and AI products
- Develop machine learning and deep learning models
- Document model development
- Embed fairness transparency and accountability in model development
- Establish best practices for deep learning development
- Implement LangChain solutions
- Ingest and prepare data
- Lead end-to-end machine learning development
- Manage machine learning model lifecycle
- Perform feature engineering and analysis
- Prioritize technology work for NLP and ML solutions
- Quantize and optimize GenAI models
- Run proof of concepts for healthcare
- Track model performance
- Use VectorDBs for retrieval
Perks/Benefits
Skills/Tech-stack
Agentic AI | Data Ingestion | Data Preparation | Deep learning | Distributed Training | Ethical AI | Feature Engineering | GenAI | Langchain | Language Generation | Language Processing | Language Understanding | Machine Learning | Model Deployment | Model Optimization | Model Performance Tracking | Model performance | Natural Language | Natural Language Generation | Natural Language Processing | Natural Language Understanding | Performance Tracking | Quantization | Retrieval-Augmented Generation | Series forecasting | Spoken language understanding | Time Series | Time Series Forecasting | Vector Database
Education
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