Graduate Fellow, AI, Machine Learning, Statistical Models

Job not on LinkedIn

🕒 May 14

🇧🇷 Brazil – Remote

💵 R$4.5k / month

⏰ Full Time

⚪️ Entry-level

🤖 Machine Learning Engineer

👻 Ghost score 31%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Instituto Euvaldo Lodi

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 1969

🤝 B2B

📚 Education

💼 Consulting

B2B • Education • Consulting

IEL - Instituto Euvaldo Lodi is a Brazilian institute linked to the Sistema Indústria (CNI/SENAI/SESI) that supports industry by promoting innovation, workforce development, and stronger ties between companies, universities and research institutions. It provides services such as corporate training, professional qualification, internships and student-business integration, technology and management support, and programs to increase industrial competitiveness and knowledge transfer. IEL operates as a business-facing organization focused on improving industry performance and linking academic and technological resources to companies.

📋 Description

• Report with implementation recommendations to improve vehicle prevention and recovery metrics • Statistical, machine learning and AI models to be implemented by Toyota

🎯 Requirements

• Education: Bachelor's degree (completed) • Field of study: Information Technology with an emphasis on Machine Learning and Artificial Intelligence • Advanced English • Strong knowledge of statistical models for probabilistic calculations • Experience with machine learning and AI models for building predictive models • Experience using AWS and AWS tools for data analysis • Experience applying artificial intelligence • Spanish language skills

🏖️ Benefits

• Stipend: BRL 4,500.00 • Availability: 40 hours per week • Duration: 12 months

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