Ml/LLM Ops Intern

Summary

Join our team as an ML Ops / LLM Ops Intern and gain hands-on experience deploying and maintaining machine learning models. You will work with cutting-edge cloud-based ML tools and contribute to optimizing model performance and ensuring smooth AI operations. This internship offers valuable experience in deploying models, developing CI/CD pipelines, and working with cloud services like AWS, GCP, or Azure. Experience with LLMs and AI agent integration is highly desirable. Upon successful completion, there's an opportunity for a full-time position. The role offers mentorship from experienced AI engineers and can be performed remotely in specified locations within Mexico.

Requirements

• Be a recent graduate in Computer Science, Engineering, or a related field
• Possess a basic understanding of ML model deployment, Docker, Kubernetes, and cloud services
• Have full-time availability
• Possess advanced proficiency in English

Responsibilities

• Assist in deploying and monitoring machine learning models in production environments
• Develop and maintain CI/CD pipelines for ML model training and inference
• Optimize infrastructure and model performance for scalability and efficiency
• Work with cloud services (AWS, GCP, or Azure) to manage ML workflows
• Troubleshoot and improve model serving, logging, and monitoring systems
• Collaborate on integrating applications with AI agents and LLMs

Preferred Qualifications

• Have experience with Python, TensorFlow/PyTorch, and MLflow
• Be familiar with automation tools and scripting (Bash, Terraform, etc.)
• Have experience working with LLMs and AI agent integration
• Have experience in OpenAI and Azure environments

Benefits

• Work on cutting-edge AI deployment and scaling challenges
• Gain hands-on experience with real-world AI production systems
• Receive mentorship from experienced AI engineers
• Have the opportunity for a full-time position upon successful completion
• Work remotely in the states of Ciudad de Mexico, Jalisco, Nuevo Leon, Aguascalientes, Queretaro, Estado de Mexico and Puebla (based in Mexico)