Nabors is a leading provider of advanced technology for the energy industry. With operations in about 20 countries, Nabors has established a global network of people, technology and equipment to deploy solutions that deliver safe, efficient and responsible hydrocarbon production. By leveraging its core competencies, particularly in drilling, engineering, automation, data science and manufacturing, Nabors aims to innovate the future of energy and enable the transition to a lower carbon world. Equal Opportunity Employer
Nabors is committed to providing equal employment opportunities to all employees and applicants and prohibiting discrimination and harassment of any type without regard to race, religion, age, color, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This applies to all terms and conditions of employment including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leave of absence, compensation, and training. To learn more about our Fair Employment practices, please refer to the.
We are seeking a highly motivated AI & DevOps Engineering Intern with a strong interest in building AI-powered applications. This role prioritizes hands-on AI development while also providing exposure to containerization, Kubernetes, and CI/CD automation.
AI Application Development (Primary Focus)
- Build and deploy AI-powered applications using Python.
- Integrate Large Language Model (LLM) APIs and ML frameworks.
- Design scalable AI services using containerized architectures.
- Collaborate with backend teams to integrate AI features into production systems.
Containerization & Kubernetes
- Build and optimize Docker containers for applications and AI services.
- Deploy and manage workloads in Kubernetes clusters.
- Write and maintain Kubernetes manifests and Helm charts.
- Monitor and troubleshoot containerized applications.
CI/CD & Automation
- Assist in building CI/CD pipelines for automated testing and deployment.
- Integrate code quality checks and security scans into pipelines.
- Support release automation and deployment processes.
Required Qualifications?
- Pursuing a degree in Computer Science, Engineering, or related field.
- Strong programming skills in Python.
- Basic knowledge of Linux, Git, and command-line tools.
- Understanding of containers (Docker) and cloud fundamentals.
Preferred Qualifications
- Exposure to Kubernetes concepts.
- Familiarity with any CI/CD tool (GitHub Actions, GitLab CI, Azure DevOps, etc.).
- Knowledge of REST APIs and cloud platforms (AWS, Azure, or Google Cloud Platform).
- Interest in distributed systems and scalable AI systems.
What You Will Gain
- Real-world experience building and deploying AI applications.
- Exposure to modern DevOps and cloud-native practices.
- Mentorship from experienced engineers.
- Opportunity for full-time conversion based on performance.
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