Summary
Join Workato's Data Science Internship program and work at the forefront of Large Language Model (LLM) technology. This role provides hands-on experience with cutting-edge AI, contributing to real business solutions through rapid experimentation and analysis. You will design and implement proof-of-concept projects using state-of-the-art LLMs, conduct experiments to evaluate LLM capabilities, perform data analysis, and create documentation. Collaboration with the data science team to identify LLM integration opportunities is also expected. Workato offers a flexible, trust-oriented culture and a multitude of benefits.
Requirements
- Strong programming skills in Python
- Basic understanding of machine learning concepts and natural language processing
- Experience with Jupyter notebooks and version control (Git)
- Excellent analytical and problem-solving skills
Responsibilities
- Design and implement proof-of-concept (POC) projects using state-of-the-art LLMs (GPT-4, Claude, Gemini, open-source models)
- Conduct rapid experiments to evaluate LLM capabilities for various business use cases
- Perform initial data analysis and feasibility assessments for business-related tasks
- Create documentation and presentations to communicate findings to technical and non-technical stakeholders
- Collaborate with the data science team to identify opportunities for LLM integration
Preferred Qualifications
- Hands-on experience with LLM APIs (OpenAI, Anthropic, Hugging Face)
- Familiarity with prompt engineering and LLM fine-tuning concepts
- Knowledge of deep learning frameworks (PyTorch)
- Experience with cloud platforms (AWS, Azure)
- Previous projects or coursework involving transformers or language models
- Active participation in ML/AI communities (Kaggle, research papers, blogs)