Postúlate en Kit Empleo: kitempleo.com.co/empleo/1ad2c4

**Machine Learning Internship - GenAI**:
Medellín, Antioquia, Bogotá, Capital District

**About project**

**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 general 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: 2.5 months

**Language**: English

**Format**: online topics and practical tasks, regular sessions with mentors.

**About the role**:
We are seeking a motivated Machine Learning Intern to join our ML Engineering team.

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**:

- Graduate student in Computer Science, Applied Mathematics, Physics, or other STEM field;
- Proficiency in Python (required);
- Proficiency in libraries for data analysis (e.g., Pandas, Sci

Py, Num

Py);
- 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 versátil 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.

Postúlate en Kit Empleo: kitempleo.com.co/empleo/1ad2c4

📌 Machine Learning Internship - Genai (Medellín) (Colombia)
🏢 Provectus IT
📍 Colombia