Intern program – Research Scientist – Master Degree
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- Research
- Intern
Intern program – Research Scientist – Master Degree
-
- Research
- Intern
IBM Research Scientists are charting the future of Artificial Intelligence, creating breakthroughs in quantum computing, discovering how blockchain will reshape the enterprise, and much more. Join a team that is dedicated to applying science to some of today’s most complex challenges, whether it’s discovering a new way for doctors to help patients, teaming with environmentalists to clean up our waterways or enabling retailers to personalize customer service.
Your Role and Responsibilities
- You will play a crucial role in enhancing our machine learning infrastructure. The ideal candidate will have a solid foundation in DevOps practices and tools, enabling seamless integration and deployment of machine learning models. You will be responsible for automating workflows, managing CI/CD pipelines, and ensuring the reliability and scalability of our ML applications.
- In addition to your DevOps skills, you should possess a strong understanding of machine learning concepts, including AI inferencing and benchmarking techniques. You will collaborate closely with AI researchers and engineers to optimize model test performance and streamline deployment processes. If you are passionate about bridging the gap between development and operations in the rapidly evolving field of AI, we’d love to hear from you.
Todas as vagas são elegíveis para pessoas com deficiência ou reabilitadas.
Required Technical and Professional Expertise
- Required Skills:
- 1-DevOps Expertise
- Proficient in CI/CD tools (e.g., Jenkins, GitLab CI)
- Experience with containerization (Docker, Podman, Kubernetes)
- 2-Machine Learning Knowledge
- Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch)
- Experience with AI inferencing and deployment of LLM models
- 3-Scripting and Programming
- Proficient in scripting languages (e.g., Python, Bash)
- Experience with at least one programming language (e.g., Java, Go, C++)
- 4-Version Control
- Proficient in Git and GitHub for version control and collaboration
- Fluent English
Preferred Technical and Professional Expertise
- Preferred Skills:
- 1-LLM (Large Language Model) Expertise
- Understanding of LLM architectures (e.g., GPT, BERT) and their applications
- Experience fine-tuning and deploying LLMs in production
- 2-OpenShift Architecture
- Understanding of OpenShift components (e.g., nodes, pods, services, routes)
- 3-Kubernetes Knowledge
- Familiarity with Kubernetes concepts and APIs, as OpenShift is built on Kubernetes
- 4-Monitoring and Logging
- Familiarity with monitoring tools (e.g., Prometheus, Grafana) and logging systems (e.g., ELK Stack)
- 5-Collaboration Tools
- Experience with Agile methodologies and tools (e.g., Jira, Trello)
- 6-Soft Skills
- Strong communication and teamwork abilities
- Problem-solving mindset with attention to detail
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About IBM
IBM’s greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.
Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we’re also one of the biggest technology and consulting employers, with many of the Fortune 50 companies relying on the IBM Cloud to run their business.
At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it’s time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.
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