Machine Learning Engineer

February 14

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Logo of EXUS

EXUS

EXUS is a global leader in debt collections and recovery technology. The company offers a debt collections and recovery software that manages credit risk throughout the entire lifecycle of accounts, from disbursement to write-off or debt sale. EXUS's software, known as the EXUS Financial Suite (EFS), is designed to be flexible, enabling organizations to adapt quickly to changes without reliance on IT personnel. EFS provides solutions for identifying and treating credit risk early, managing collections efficiently, handling legal recoveries, and gaining insights into portfolio evolution. EXUS is acknowledged for reducing collection costs and time-to-implement new strategy, while maintaining exceptional customer service and easy integration into existing systems.

Banking • Telecom • Information Technology • Software • Debt Collection Software

📋 Description

• EXUS AI Labs designs and develops AI solutions leveraging big data analytics. • Join a multidisciplinary team to foster innovation in software engineering, A.I., and data analytics. • Work on large-scale Research and Innovation Projects in Security, Health, and Creativity. • AI solution definition & architecture design. • Apply Machine Learning algorithms and techniques. • Statistical analysis and fine-tuning using test results. • Collaborate with data scientists and software engineers.

🎯 Requirements

• BSc degree in Computer Science, Mathematics, or a similar field. An MSc degree will be highly appreciated. • Proven working experience, 3 to 5 years, on application development project(s). • Good knowledge of mathematics, probability, statistics, and computational algorithms. • Good understanding of data structures and data modeling. • Expertise in data analysis and visualization • Proven experience in Python • Familiarity with machine learning frameworks and libraries (e.g., PyTorch, TensorFlow, pandas, scikit-learn). • Good knowledge of Git • Experience with REST-API design and implementation • Familiarisation with application containers (Docker) • Familiarization with event-driven processes • Working experience in Research / H2020 Projects, will be highly appreciated • Excellent knowledge of the English language (both verbal & written) • Strong problem-solving skills and analytical thinking • Team player, self-motivated, constantly seeking new knowledge • Ability to travel (up to 5% of total working time, in European destinations) / Fulfilled military obligations for male candidates

🏖️ Benefits

• Fully remote work setup • Competitive salary • Inclusive work environment & Well-being Program • A clear induction program & a mentoring buddy to help you • Private health insurance • Unlimited time off

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