
AI Researcher
1 day ago
Job Title: AI Researcher
- Main Responsibilities:
- Data Quality and Integrity: Ensure accurate and reliable data for model training and evaluation.
- Model Safety and Fairness: Design and implement evaluation frameworks to monitor model performance, bias, and safety.
- Pipeline Development: Build automated pipelines in Python and SQL to process, tag, and evaluate model outputs.
- Visualizations and Dashboards: Create interactive visualizations for proof-of-concepts using Streamlit, Dash, or React/JS.
- API Integration: Collaborate with engineering teams to integrate model components into production APIs.
- Staying Current: Stay updated with AI research, emerging tools, and regulatory standards.
Required Qualifications:
- Experience: 1-3 years in data science, applied ML, or LLM-based applications.
- Programming Skills: Strong Python skills and experience writing SQL for data exploration or feature engineering.
- NLP and Deep Learning: Solid understanding of NLP, deep learning (CNN/RNN/Transformers), and LLM architectures.
- LLM Experience: Hands-on experience with Hugging Face, LangChain, LLM APIs, and vector stores.
- Model Evaluation: Experience with model evaluation, red-teaming, or safety interventions in NLP/LLM systems.
- Production Deployment: Familiarity with deploying ML pipelines in production and ability to thrive in a fast-paced startup environment.
This role is ideal for a motivated individual who can balance technical expertise with collaboration and communication skills. The successful candidate will have a passion for AI research and staying up-to-date with emerging technologies.
The ideal candidate will be able to identify areas for improvement in current models and develop strategies to enhance their performance.
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