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ML/LLM Ops Intern
Rackspace
Job Location
Job Summary
We are seeking 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. Experience with large language models (LLMs) and integrating applications with AI agents is highly desirable. As a member of our team, you will collaborate on deploying and monitoring machine learning models in production environments, developing and maintaining CI/CD pipelines for ML model training and inference, optimizing infrastructure and model performance for scalability and efficiency. You'll also work with cloud services (AWS, GCP, or Azure) to manage ML workflows and troubleshoot and improve model serving, logging, and monitoring systems. Our team values curiosity, ownership, and a drive to improve, and we offer flexible remote work options, $4,000/year travel stipends, and equity in a fast-growing company. If you're passionate about AI and want to gain hands-on experience with real-world AI production systems, apply now.
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
- Final-year student or 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
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.
*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.
