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DevOps Engineer – AI focus
Válasz a hirdetésreYOUR FUTURE TEAM You will join to the Data and Platform team within xOps Services by providing high performance compute and storage capacity to AI developer teams globally. ,
- 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.
- 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).
- Competitive compensation and a wide range of benefits, including:
- Bonus system
- Annual flexible benefit (Cafeteria)
- Private health insurance
- Employee discounts
- Sport pass support
- Continuous development with access to numerous trainings, including technical skills, soft skills and language skills
- Personal career development and a challenging role with end-to-end responsibility
- Opportunity to see your ideas turn into reality with our test vehicles
- Ability to directly deliver software into real, innovative products
- Easily accessible office location in downtown Budapest (near Kálvin square).
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