AI Researcher
Tasks
- Apply Retrieval Augmented Generation
- Build data clustering pipelines
- Build evaluation pipelines
- Classify tabular data
- Deploy models to production
- Design agentic workflows
- Develop ML and AI models
- Ensure safety latency and cost controls
- Evaluate model performance
- Extract text from documents
- Implement Deep Learning solutions
- Implement NLP solutions
- Implement prompt engineering
- Implement routing and task adaptation
- Monitor deployed models
- Perform document analysis
- Prepare data for experiments
- Tune and train models
Perks/Benefits
- N/A
Skills/Tech-stack
Big Data | Chain-of-Thought | Clustering | Cost Optimization | Data Classification | Data Pipelines | Deep learning | Direct Preference Optimization | Document analysis | Efficient Fine Tuning | Evaluation Pipelines | Few-Shot Learning | Few-shot | Fine Tuning | Function Calling | Human Feedback | Language Models | Language Processing | Large Language Models | Latency optimization | Learning from Human Feedback | LoRA | Machine Learning | Machine learning deployment | Natural Language | Natural Language Processing | Parameter efficient fine-tuning | Preference optimization | Prompt engineering | Reinforcement Learning | Reinforcement Learning from Human Feedback | Retrieval-Augmented Generation | Routing | Safety evaluation | Supervised Fine Tuning | Tabular Data | Tabular Data Classification | Text extraction | Tool use
Education
Roles
AI | AI Researcher | Engineer | Learning Engineer | Machine Learning Engineer | Researcher
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