Data Analyst - AI Engineer CRIF, a prestigious and innovative international group specializing in informational solutions, decision models, outsourcing, software, and consulting services to support banks, financial companies, insurance companies, utilities, and telecommunications companies, is seeking a
CRIF, a prestigious and innovative international group specializing in informational solutions, decision models, outsourcing, software, and consulting services to support banks, financial companies, insurance companies, utilities, and telecommunications companies, is seeking a Data Analyst - AI Engineer.
CRIF, a prestigious and innovative international group specializing in informational solutions, decision models, outsourcing, software, and consulting services to support banks, financial companies, insurance companies, utilities, and telecommunications companies, is seeking a Data Analyst - AI Engineer.
Posted: 19.05.2026Job reference: d9c02a16e58a5307c29b204dfcf545d8Job informationLocationClient / EmployerNTT DATA Europe & LatamJob referenced9c02a16e58a5307c29b204dfcf545d8Listing typeBasicEU work permit requiredNoPosted19.05.202603.07.2026ResponsibilitiesAs a Senior Machine Learning Engineer at NTT DATA, work alongside experienced Data Scientists, Data and ML Engineers on advanced machine learning and Generative AI
Experteer OverviewAs a Senior ML Engineer at NTT DATA, you will collaborate with data scientists and ML engineers on advanced Generative AI initiatives. You apply hands‑on GenAI capabilities across cloud and on‑prem architectures, shaping scalable data pipelines and automated
As a Senior Machine Learning Engineer at NTT DATA, you will work alongside experienced Data Scientists, Data and ML Engineers on advanced machine learning and Generative AI initiatives. Your Contribution In This Role Apply hands‑on Generative AI capabilities, preferably
Experteer Overview As a Senior ML Engineer at NTT DATA, you will collaborate with data scientists and ML engineers on advanced Generative AI initiatives. You apply hands‑on GenAI capabilities across cloud and on‑prem architectures, shaping scalable data pipelines and