Data Scientist - Agentic AI / ML
Tasks
- Analyze requirements with stakeholders
- Build GenAI focused applications using LLMs
- Build agentic AI prototypes
- Create embedding based search systems
- Deploy and monitor models in production
- Derive KPI actions and business insights
- Design GenAI architectures for plugin based solutions
- Develop machine learning models from inception to deployment
- Fine-tune large language models
- Improve forecast accuracy
- Perform data mining and machine learning for forecasts and pattern recognition
Perks/Benefits
- Career development
- Health and wellbeing programs
- Learning opportunities
- On-site collaboration
- Supportive work culture
Skills/Tech-stack
Data Mining | Deep learning | Forecasting | GenAI | JAX | Language Models | Large Language Models | MLOps | Machine Learning | Model Deployment | Model versioning | Performance Monitoring | PyTorch | Python | RAG | SQL | Scikit-learn | TensorFlow
Education
Roles
Regions
Countries
States
Cities
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