**About the Role**
**Key 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.
**Qualifications**:
- Recent graduate in Computer Science, Engineering, or a related field.
- Basic understanding of ML model deployment, Docker, Kubernetes, and cloud services.
- Experience with Python, TensorFlow/PyTorch, and MLflow is a plus.
- Familiarity with automation tools and scripting (Bash, Terraform, etc.).
- Experience working with LLMs and AI agent integration is preferred.
- Full-time availability




- Advanced proficiency in English is required
**Why Join Us?**:
- Work on cutting-edge AI deployment and scaling challenges.
- Gain hands-on experience with real-world AI production systems.
- Mentorship from experienced AI engineers.
- Opportunity for a full-time position upon successful completion.
**Fluent, Bi-lingual (Spanish and English): interviews will be held in English.**
**Role can work remotely in the states of Ciudad de Mexico, Jalisco, Actual Leon, Aguascalientes, Queretaro, Estado de Mexico and Puebla. You need to be based in Mexico at one of the above locations.**
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**About Rackspace Technology**
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