Machine Learning Engineer
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The role
Join the GEO - Traffic team to design and deploy end-to-end ML systems for geo-spatial intelligence, including travel time estimation and high-precision positioning.
Build robust data pipelines and optimize deep learning and ML algorithms, including LLMs and multimodal models, for real-world impact.
Design features and components from clearly defined requirements while ensuring BAU resilience and guidance on edge cases.
Collaborate with data scientists, software engineers, product managers and business operations to deliver scalable solutions.
Own the ML lifecycle from data preprocessing and model development to deployment, retraining, and fine-tuning, with emphasis on model versioning and CI/CD.
Bring expertise in geospatial data, ETA/traffic predictions, routing or mobile-edge computing to contribute to innovative IP and product impact.
Build robust data pipelines and optimize deep learning and ML algorithms, including LLMs and multimodal models, for real-world impact.
Design features and components from clearly defined requirements while ensuring BAU resilience and guidance on edge cases.
Collaborate with data scientists, software engineers, product managers and business operations to deliver scalable solutions.
Own the ML lifecycle from data preprocessing and model development to deployment, retraining, and fine-tuning, with emphasis on model versioning and CI/CD.
Bring expertise in geospatial data, ETA/traffic predictions, routing or mobile-edge computing to contribute to innovative IP and product impact.
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