Data Scientist – Machine Learning & GenAi F/H
Tasks
- Build training and inference pipelines
- Create backend APIs for model services
- Design RAG architectures
- Detect model drift and robustness issues
- Develop generative AI chatbot and document analysis tools
- Develop machine-learning forecasting models
- Ensure model interpretability for business stakeholders
- Implement MLOps and LLMOps practices
- Integrate LLM into operational workflows
- Monitor model performance in production
- Orchestrate AI agents
- Support user adoption through training and communication
Perks/Benefits
Skills/Tech-stack
API Development | Agentic AI | CI/CD | Data Pipelines | FastAPI | Flask | Kubeflow | LLMOps | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Monitoring | Natural Language | Natural Language Processing | Pandas | Python | RAG | Retrieval-Augmented Generation | Time Series | Version control
Education
Roles
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