Machine Learning Scientist II - Customer centric data

Machine Learning Scientist II - Customer Centric Data

Jobs for Humanity

Published 11 May 2024 Share this job

Amsterdam, Netherlands Full Time Role Highlights

Python SQL AI ML Scientist Computer Science Product Management DataSets Batch Deployment PhD Quantitative Mathematics Fine Tuning Tools, Libraries and Frameworks

Tensorflow Description

As a Machine Learning Scientist, you will be developing state-of-the-art Machine Learning models, owning the design and delivery of ML systems from initial idea-generation, collecting business requirements from product stakeholders to implementation. The User Intent Modelling team is building upon past successes while also deepening innovation to push the boundaries for personalisation further by leveraging state-of-the-art Machine Learning and Artificial Intelligence. You will work closely with other Machine Learning Scientists and Engineers in the User Intent Modelling team, as well as Data Engineers, Software Engineers, and Product Managers. Use the ML models' output to deliver both short-term commercial impact and longer-term differentiated business value and customer experience. Disclaimer: Job and company description information and some data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. Always refer to the full external job listing for authoritative information. Jobs for Humanity collaborates with USD 437 to promote an inclusive employment ecosystem, supporting communities such as refugees, neurodivergent individuals, single parents, visually impaired, deaf or hard of hearing, racial minorities, military veterans, the elderly, LGBTQ individuals, and those impacted by the justice system. Talan Consulting, part of the Talan Group, is a French multi-sector consultancy supporting leaders in business, management, cultural, and technological transformations, emphasizing agility, innovation, and social responsibility. The IA Data Excellence & Agility team within Talan aids clients in innovating through new technologies while meeting societal and environmental commitments.

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