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ID: 12756 Location: Budapest Job type: DevOps Engineer

Our partner create next generation automotive software solutions which make automated driving safe and affordable. We are looking for Machine Learning Engineer with DevOps focus in our international partners team to Budapest with relevant experience and strong English knowledge. Our team is responsible for providing the tools and knowledge to accelerate AI development and related activities.

Tasks:

Understanding business requirements and use cases of the user groups
Develop and establish MLOps solutions on GPU cluster infrastructure
Support ML engineers in integrating and mastering the provided tools, building well-structured ML pipelines, ensuring traceability and transitioning from research to production
Be a front runner of new processes among technical stakeholders, drive communication and raise awareness of management via quantifiable metrics
Educate and guide product teams to achieve higher MLOps maturity, help them make fact-based technological decisions (e.g., via improved automation, more efficient code)
Continuously document the above technological decisions and best practices
Investigate and stay up to date with industry standards concerning ML infrastructure, frameworks, and tools.

Requirements:

BSc or MSc in Computer Science, machine learning or related area
3+ years of experience in Python software development within ML tooling or operations
Demonstrated expertise in building production-ready ML pipelines using PyTorch or TensorFlow and delivering results in a fast-paced environment
Expertise in experiment tracking tools (e.g., Weights & Biases, MLflow)
Solid understanding of data monitoring and model performance evaluation
Experience in working with Linux, Docker
Good command of English language.
Experience with Kubernetes as a user
Experience with ELK stack and SQL queries
Familiarity with at least one major cloud service provider (AWS, Azure, or Google Cloud)
Excellent communication skills, capable of inspiring teams and translating complex AI concepts into business strategies to be communicated to different stakeholders at different levels of seniority and skills