Join us for a 2.5-month hands-on internship focused on Generative AI (GenAI) research Provectus is an AI-first systems integrator and solutions provider, helping our customers transform their businesses with cutting-edge AI. At Provectus, we deliver AI/ML & GenAI solutions from strategy to execution, addressing strict industry compliance and global data standards to drive real outcomes and accelerate growth in sectors like Financial Services, Healthcare & Life Sciences, Retail & CPG, and more. As an intern, you’ll be at the forefront, working on an impactful, real-world GenAI project and gaining hands-on experience with the latest technologies. Timeline: Application close date: June 2nd Program starts: June 16th Duration: 10 weeks Language: English Format: online topics and practical tasks, regular sessions with mentors. In this role, you will actively contribute to: Optimizing and benchmarking state-of-the-art Large Language Models (LLMs); Evaluating and enhancing ML pipelines, encompassing data preprocessing, model training, and rigorous performance analysis; Fine-tuning expert models to use in agentic AI workflows; Leveraging cloud-based ML services (AWS/GCP) to deploy GenAI solutions into production environments; Staying on top of the rapidly evolving GenAI landscape through continuous research. Requirements: Currently enrolled in a Master's or PhD program in Computer Science, Applied Mathematics, Physics, or another relevant STEM field; Proficiency in Python (required); Proficiency in libraries for data analysis (e.g., Pandas, SciPy, NumPy); Familiarity with ML libraries (e.g., scikit-learn, PyTorch); Experience with version control using Git; An analytical mindset and the ability to learn quickly; Upper-Intermediate English (written/spoken). Nice-to-Have: Coursework/projects in ML, data analysis, or automation; Familiarity with MLOps tools and practices for model training and evaluation (e.g., MLflow, Weights & Biases); Familiarity with LLM frameworks (e.g., llamaindex, Langchain, Hugging Face); Experience with Docker; Experience with cloud platforms (e.g., AWS). What you get from the internship: Payment and a flexible hybrid working environment; Gain deep expertise in evaluating, benchmarking, and optimizing LLMs; Enhance your research, AWS/ GCP, Python programming, and data analysis skills; Learn best practices for deploying GenAI solutions in a production setting; Real-world project experience and receive a letter of recommendation to accelerate your career; Opportunity to contribute to publication; Mentorship and learning opportunities from experienced engineers. Apply now to kickstart your ML career! PI272289118