Machine Learning Researcher

This is a remote position.

Company Description

Upskills provides expert financial software consulting for investment banks and leading financial institutions in Asia Pacific, Middle East and Europe region. With a strong, Front to Back expertise in the cash and derivatives markets, coupled with an in-depth knowledge of financial markets technologies, we provide smart, business-wise, and efficient solutions

We are seeking an ML Researcher/Applied Scientist to join our Research & Development Team in Paris. Research Scientists at Upskills lead our efforts in developing novel architecture and solutions to feed our AI-based solutions and products and produce research that aims to be published in top AI conferences. Individuals in this role are expected to be experts in areas such as artificial intelligence, machine learning, computational statistics, and applied mathematics, particularly in areas such as natural language processing/understanding, deep learning, and computer vision.

Key Responsibilities

• Lead and manage complex R&D or implementation projects on applied mathematics, computer science and machine learning
  
• Bridge the gap between the research and engineering teams by contributing research that can be applied to Upskills’s products and solutions.
  
• Suggest and engage in team collaborations to meet the Research & Development Dept. goals.
  
• Report and present experimental results and research findings, both internally and externally, verbally and in writing.
  
• Solve technical problems using all necessary tools (code, software, etc). focus on the delivery of a solution, including interfaces, API, etc.
  
• Ensure quality and the frugality of the delivered solution
  
• Upon request, collaborate with other groups’ activities, including but not limited to presenting the company to new prospective clients, participating in calls and meetings, and representing Upskills in conferences/events.
  

Requirements

KEY REQUIREMENTS Master's or PhD or equivalent degree in Computer Science/ Machine Learning, Data Science or a related scientific field.
• Experience using deep learning frameworks such as Tensorflow, Pytorch, and/or Jax.
• Excellent communication skills and collaborative spirit. NICE-TO-HAVE
• Software engineering experience demonstrated via previous work, contributions to open source, or coding competitions.
• ML Engineering/MLOps skills
• Cloud computing platforms: Microsoft Azure, AWS
• Natural Language Processing , Computer Vision or Graph Neural Network experience.

Benefits

BENEFITS
• Do something meaningful
• Working in small, diverse teams where you can make an impact
• Varied challenges across industries
• Cooperation across France and Asian offices