1 week ago

AI Engineer

TomTom

Amsterdam

1 week ago

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AI Engineer

We're looking for a skilled Software Engineer to join our team and help us build a production-ready AI product for TomTom. The work is full-stack, covering everything from new feature development to infrastructure and client-side integration. You will design, implement, and deploy new features using Python, contribute to DevOps and MLOps, and work on AI model improvement.

Core AIHybridFull-timeEntry LevelPythonCI/CD

AI Engineer

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Core AIHybridFull-timeEntry LevelPython

Salary

Not specified

Work Location

Amsterdam, North Holland, Netherlands, NL

Work Model

Hybrid

Employment Type

Full-time

Experience Level

Not Applicable

Core Qualifications

Technical (Must-have)

PythonCI/CDMLOpsFine-tuningPrompt EngineeringLarge Language ModelsClient IntegrationEvaluation SystemsProduction ReadinessPerformance OptimizationError HandlingMonitoring

Key Responsibilities

•Design, implement, and deploy new features using Python to enhance core AI functionalities.
•Contribute to the development and maintenance of CI/CD pipelines and MLOps infrastructure, including automating model training, deployment, and monitoring processes.
•Develop and improve the internal evaluation system to accurately measure model performance, track key metrics, and ensure data integrity.
•Manage the integration of the AI solution into client environments.
•Work with existing models to enhance their performance and efficiency, including fine-tuning large language models and applying advanced prompt engineering techniques.
•Participate in short-term research and development projects to explore new technologies and approaches.
•Take ownership of tasks focused on making the product production-ready, including improving reliability, enhancing performance, and implementing robust error handling and monitoring.

AI EngineerSoftware EngineerPythonMLOpsDevOpsFull-stackHybridTomTomAI ProductLLM

Key Responsibilities

•Design, implement, and deploy new features using Python to enhance core AI functionalities.

•Contribute to the development and maintenance of CI/CD pipelines and MLOps infrastructure, including automating model training, deployment, and monitoring processes.

•Develop and improve the internal evaluation system to accurately measure model performance, track key metrics, and ensure data integrity.

•Manage the integration of the AI solution into client environments.

•Work with existing models to enhance their performance and efficiency, including fine-tuning large language models and applying advanced prompt engineering techniques.

•Participate in short-term research and development projects to explore new technologies and approaches.

•Take ownership of tasks focused on making the product production-ready, including improving reliability, enhancing performance, and implementing robust error handling and monitoring.