DevOps Engineer - AI Focus
Continental
Budapest, Hungary
Your Tasks
Our team is responsible for providing the tools and knowledge to accelerate AI development and related activities.
Your tasks are therefore:
- Understanding business requirements and use cases of the user groups
- Collaborate on developing MLOps solutions on GPU cluster infrastructure
- Be a front runner of new processes among technical stakeholders, drive communication and raise awareness of management via quantifiable metrics
- Develop real-time monitoring and offer solutions for optimization (e.g., identifying AI training bottlenecks related to suboptimal hardware utilization)
- Educate and guide product teams to use the underlying hardware stack in a resource efficient manner and help them make fact-based technological decisions (e.g., performance optimization)
- Continuously document the above technological decisions and best practices
Your profile
- BSc or MSc in Computer Science, machine learning or related area
- 3+ years of experience in Python software development within ML tooling or operations
- Experience with Linux, Docker, ELK stack, and Kubernetes as a user
- Good understanding of CI/CD processes and tools (e.g., Jenkins, GitHub)
- Practical experience with ML and DL frameworks (e.g., PyTorch, TensorFlow)
- Experience working with distributed big data storage technologies
- Excellent communication skills, capable of inspiring teams and translating complex infrastructural concepts into business strategies to be communicated to different stakeholders at different levels of seniority and skills
- Good command of English language
- Interest in the newest technologies surrounding AI
- In addition, it would be beneficial to have
- Good understanding building production ML pipelines
- Experience with experiment tracking tools (e.g., Weights & Biases, MLflow)
- Familiarity with at least one major cloud service provider (AWS, Azure, or Google Cloud)
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