Software Engineer ML Ops

hace 2 semanas


Madrid, Madrid, España TomTom A tiempo completo
Transforming AI/ML Capabilities at TomTom

We are seeking a highly motivated Software Engineer with experience in MLOps environments to join our ML platform team. 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 ML-powered solutions.

Key Responsibilities:
  • Collaborate with a cross-functional team of data & software engineers and data scientists to design and implement scalable machine learning infrastructure serving the whole company.
  • Design, develop, and maintain ML pipelines, ensuring high reliability and scalability.
  • Contribute to optimize and fine-tune machine learning models for deployment in big-data environments.
  • Closely collaborate and effectively with other teams to integrate ML models into their products and services.
  • Monitor and troubleshoot production ML systems to ensure smooth operation.
  • Contribute to the development of best MLOps practices within the company.
Requirements:
  • Bachelor's or Master's degree in Computer Science, Engineering, or related technical field.
  • Proven experience in scaling up machine learning models for production deployment.
  • Strong programming skills in languages such as Python, Java, or Scala.
  • Proven experience in big data pipeline development and management in Spark.
  • Familiarity with cloud-first distributed compute and orchestration systems.
  • Understanding of machine learning fundamentals and best practices.
  • Excellent writing skills for documenting technical designs and operational processes.
  • Ability to design and implement efficient and effective technical solutions.
What We Offer:
  • A competitive compensation package.
  • 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 from home, the office, or even abroad – each team has the flexibility to choose how they work based on business needs.
  • Improve your home office with a setup budget and get extra support with a monthly allowance.
  • Enjoy options to work from your home country and abroad for a set number of days each year, to visit family and friends, or to simply explore the world we're mapping.
  • Take the holidays you want with a competitive holiday plan, plus an extra day off to celebrate your birthday.
  • Join annual events like our Hackathon and DevDays to bring your ideas to life with talented teammates from around the world.
  • Become a part of our inclusive global culture and have the chance to collaborate with a diverse community – we have over 80 nationalities at TomTom.


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