Develop and implement scalable data pipelines and infrastructure for computer vision and machine learning applications
Optimize and improve the performance of existing CV and/or ML solutions
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

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
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

A competitive compensation package
Time and resources to grow and develop, including a personal development budget and paid leave for learning days
Paid access to e-learning resources such as O’Reilly and LinkedIn Learning
Enhanced parental leave plus paid leave to care for loved ones and volunteer in local communities
Work flexibility, where TomTom’ers use both the office and home
Improve your home office with a setup budget and get extra support with a monthly allowance
Options to work from your home country and abroad for a set number of days each year
Competitive holiday plan, plus an extra day off to celebrate your birthday
Join annual events like our Hackathon and DevDays

Senior Machine Learning Engineer – ADAS

Key skills