Cloud Infrastructure Architect for AI/ML Solutions
hace 3 horas
Job Description
We are seeking a highly motivated Software Engineer to join our MLOps team at TomTom International Bv. As part of this team, you will be at the forefront of transforming our AI/ML capabilities throughout the company, paving the way for other teams to revolutionize the world of mapmaking with innovative, scalable and cost-efficient solutions.
Key Responsibilities:
- Lead the creation, maintenance, and optimization of cloud-based infrastructure that enables massive data storage and processing for different ML model types.
- Collaborate with a global team of engineers to ensure the infrastructure is scalable, highly available, and resilient, meeting the demands of real-time data processing.
- Design and implement technical solutions that address complex challenges, particularly in data processing and infrastructure globally across the company.
- Play a pivotal role in integrating Machine Learning Operations (MLOps) tools and frameworks where necessary, working with technologies like Kubernetes and cloud infrastructure.
Requirements:
- A Bachelor's degree in Computer Science (or related field) or 4+ years of relevant industry experience in infrastructure development.
- Expertise in building and managing data processing systems with cloud technologies such as Azure, Kubernetes, and Databricks.
- Proficiency in at least one modern programming language, such as Python or Scala, and experience with scalable system design.
- Solid understanding of professional software engineering best practices—code reviews, source control, testing, and deployment processes.
- Ability to work independently, taking ownership of projects and delivering high-quality, maintainable solutions.
What We Offer:
- A competitive compensation package, including an estimated salary of €120,000 per year, based on the location in Madrid, Spain.
- Time and resources to grow and develop, including a personal development budget and paid leave for learning days, as well as paid access to e-learning resources such as O'Reilly and LinkedIn Learning.
- Time to support life outside of work, with enhanced parental leave plus paid leave to care for loved ones and volunteer in local communities.
- Work flexibility, where TomTom'ers, in agreement with their manager and team, use both the office and home to focus, collaborate, learn and socialize.
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