Why This Role Stands Out
This hybrid role offers a fantastic opportunity to innovate with cutting-edge machine learning algorithms in a dynamic financial environment, perfect for ambitious mid-senior professionals eager to tackle complex scalability challenges. You'll thrive here if you possess a strong quantitative background, a passion for deep learning, and a desire to deploy impactful solutions in production, all within a collaborative Parisian setting. Don't miss this chance to advance your career at a reputable firm!
Quick Overview
Job Description
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
Apply:-
Please send a PDF resume to quants@ekafinance.com
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