Machine Learning Engineers / Paris - Eka Finance

Eka Finance; Paris; Sur place; EUR 50 000 - 80 000; Plein temps

Résumé du poste

A financial technology company in Paris seeks a Machine Learning Engineer to design state-of-the-art algorithms and tackle real-world challenges. Candidates should have a strong math background, a Master’s or PhD in a quantitative field, and programming experience in languages like Python or Java. The role involves analyzing large datasets and applying innovative machine learning techniques.

Qualifications

• Strong mathematical foundation required.
• Development experience in at least one mainstream programming language.
• Experience deploying machine learning solutions in production.

Responsabilités

• Design state-of-the-art machine learning algorithms.
• Analyse large datasets and propose solutions.
• Apply new machine learning techniques in the company.

Connaissances

Machine Learning

Deep Learning

Programming (Python, Java, C++)

Data Analysis

Formation

Master’s or PhD in Machine Learning, Computer Science, or related field

Description du poste

Role : -

Design state-of-the-art machine learning algorithms tailored to the company’s unique latency and scalability demands.

Analyse large datasets, identify prediction and classification challenges, propose solutions, build prototypes, and stay current on the latest research.

Explore new academic and industrial machine learning and modelling techniques, applying them within the company.

Requirements : -

You have a Master’s or PhD in Machine Learning, Computer Science, or a related quantitative discipline.

You possess development experience in at least one mainstream programming language (Python, Java, C++, etc.).

You have a strong mathematical foundation and experience with Deep Learning

You are eager to tackle real-world scalability challenges and ideally have deployed ML solutions in production