Senior Machine Learning Engineer - ADAS

TomTom International BV
Amsterdam, Netherlands
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Amsterdam, Netherlands

Tech stack

Computer Vision
Azure
Software Quality
Continuous Integration
Machine Learning
Data Pipelines
Docker

Job description

  • Develop and implement scalable data pipelines and infrastructure for computer vision and machine learning applications, to boost the performance of manual operators.

  • Optimize and improve the performance of existing CV and/or ML solutions, making them performant and production ready.

  • Ensure code quality, robustness, and thorough testing of our computer vision solutions.

  • Collaborate with cross-functional teams to integrate algorithms into production systems.

  • Implement continuous integration and continuous deployment (CI/CD) processes for machine learning models.

  • Deploy solutions using Docker containers on cloud platforms such as Azure.

What You'll Need

  • Develop and implement scalable data pipelines and infrastructure for computer vision and machine learning applications.

  • Accelerate model development lifecycle by building distributed training pipeline.

  • Optimize and improve the performance of existing CV and/or ML solutions, making them performant and production ready.

  • Ensure code quality, robustness, and thorough testing of our computer vision solutions.

  • Collaborate with cross-functional teams to integrate algorithms into production systems.

  • Implement continuous integration and continuous deployment (CI/CD) processes for machine learning models.

  • Deploy solutions using Docker containers on cloud platforms such as Azure.

Requirements

Do you have experience in Docker?

Benefits & conditions

A competitive compensation package, of course. 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.

About the company

Work flexibility, where TomTom'ers, in agreement with their manager and team, use both the office and home to focus, collaborate, learn and socialize. It's all about getting the best out of both worlds - we ask TomTom'ers to come to the office two days a week, and the remaining three are free to be worked in either location. 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! Find out more about our global benefits and enjoy additional local benefits tailored to your location. Meet your team We are the ADAS & ADS Product Unit, leading the production of TomTom's HD maps and ADAS technology. In a diverse team of applied scientists, engineers, data scientists, and more, equipped with a broad array of expertise, you'll collaborate on groundbreaking location-based technologies and applications. More specifically, you'll be at the forefront of the creation of advanced HD maps. You'll also help update these in real-time, ensuring our maps are pushing the world forward instantly. These maps will then go on to empower the largest car manufacturers, transportation giants, and major tech companies around the world.

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