Your 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.
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.
- 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).
Ready to drive with Continental? Take the first step and fill in the online application.
