Machine Learning Intern

Summary

Join Provectus for a 4-month Generative AI internship! This hands-on program focuses on building and optimizing RAG pipelines, designing agentic workflows, curating datasets, and developing GenAI demos. The internship is ideal for aspiring AI/ML engineers and data scientists pursuing bachelor's degrees or higher. Successful candidates will possess experience with Python and ML frameworks, knowledge of NLP and LLMs, and strong analytical and problem-solving skills. Interns will gain practical experience with LLMs, vector databases, and receive guidance from seasoned professionals. This opportunity offers a portfolio-building experience and potential for a full-time role.

Requirements

• Experience with Python and Python-based ML frameworks (e.g., PyTorch or TensorFlow)
• Knowledge of NLP, GenAI, and LLMs
• Basic knowledge of Docker and Git
• Upper-intermediate level of English
• Analytical thinking skills and problem-solving skills
• Ability to learn quickly
• Ability to work independently and adapt to a fast-paced environment
• Ability to collaborate effectively across groups and cultures
• Students pursuing a bachelor's degree or higher technical education in disciplines like Computer Science, Information Technology, AI/ML, Data Science, and Information Science & Engineering

Responsibilities

• Assist in building and optimizing Retrieval-Augmented Generation workflows
• Help design and experiment with autonomous agents for task automation
• Scrape, curate, and label domain-specific datasets to train and evaluate models
• Support the development of GenAI-powered demos and help communicate results to technical and non-technical audiences
• Show initiative, rapid learning ability, and openness to new ideas
• Actively seek feedback and iterate on work products and approaches
• Demonstrate increasing independence and responsibility over time
• Contribute to internal initiatives such as MVP development of internal tools or accelerators, demos and prototypes for future offerings, and research-driven experiments (e.g., GenAI, ML ops automation)
• Write clean, modular, and maintainable code following our internal standards
• Work closely with assigned mentors and cross-functional team members
• Participate in regular check-ins, team meetings, and demo days
• Clearly communicate progress, blockers, and learnings

Benefits

• Practical experience with LLMs, vector databases, and orchestration tools
• We will help you explore emerging technologies and best practices that the market demands
• Exposure to real-world challenges and rapid prototyping
• Guidance from seasoned Provectus professionals in the field of AI and ML, helping you navigate challenges and enhance your learning experience
• Practice-oriented approach. A chance to contribute to meaningful internal GenAI products
• A portfolio-building opportunity that can set you up for a full-time role with us or accelerate your career in the field
• Remote role with the possibility of working in-office, depending on location