ML/LLM Ops Intern
Job Summary
Job Description
This ML/LLM Ops Internship supports Rackspace Technology's AI product development team. Responsibilities include deploying and monitoring machine learning models in production, developing CI/CD pipelines for model training and inference, optimizing infrastructure and model performance, managing ML workflows using cloud services (AWS, GCP, or Azure), troubleshooting model serving systems, and collaborating on integrating applications with AI agents and LLMs. The ideal candidate possesses a basic understanding of ML model deployment, Docker, Kubernetes, and cloud services, along with experience in Python, TensorFlow/PyTorch, and MLflow. Familiarity with automation tools and scripting is also crucial. Experience with LLMs and AI agent integration, particularly within OpenAI and Azure environments, is highly preferred.
Must have:
- Deploy and monitor ML models
- Develop CI/CD pipelines
- Optimize ML infrastructure
- Manage cloud ML workflows
- Troubleshoot model serving
- Integrate with AI agents/LLMs
- Python, TensorFlow/PyTorch
Good to have:
- Experience with OpenAI and Azure
- MLflow, Docker, Kubernetes
15 skills required
Job Details
About the Role
We are looking for an ML Ops / LLM Ops Intern to support our AI product development team. This role offers hands-on experience in deploying and maintaining machine learning models, optimizing model performance, and ensuring smooth AI operations. You’ll work with the latest cloud-based ML tools, automation pipelines, and model serving frameworks, gaining valuable industry experience. Experience with large language models (LLMs) and integrating applications with AI agents is highly desirable.
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.
- Collaborate on integrating applications with AI agents and LLMs.
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.
- Strong preference for candidates with experience in OpenAI and Azure environments.
- Full-time availability
- Advanced proficiency in English is required
Fluent, Bi-lingual (Spanish and English): interviews will be held in English.
Role can work remotely in the states of Ciudad de Mexico, Jalisco, Nuevo Leon, Aguascalientes, Queretaro, Estado de Mexico and Puebla. You need to be based in Mexico at one of the above locations.
#LI-GP1
"Remote postings are limited to candidates residing within the country specified in the posting location"
About Rackspace Technology
We are the multicloud solutions experts. We combine our expertise with the world’s leading technologies — across applications, data and security — to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges, designing solutions that scale, building and managing those solutions, and optimizing returns into the future. Named a best place to work, year after year according to Fortune, Forbes and Glassdoor, we attract and develop world-class talent. Join us on our mission to embrace technology, empower customers and deliver the future.
More on Rackspace Technology
Though we’re all different, Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe. We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age, color, disability, gender reassignment or identity or expression, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national origin, race, religion or belief, sexual orientation, or any legally protected characteristic. If you have a disability or special need that requires accommodation, please let us know.
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