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Ansök senast: 2024-06-15
Machine Learning Researcher
This is a remoteposition.
CompanyDescription
Upskillsprovides expert financial software consulting for investment banksand leading financial institutions in Asia Pacific Middle East andEurope region. With a strong Front to Back expertise in the cashand derivatives markets coupled with an indepth knowledge offinancial markets technologies we provide smart businesswise andefficientsolutions
Weare seeking an ML Researcher/Applied Scientist to join our Research& Development Team in Paris. Research Scientists atUpskills lead our efforts in developing novel architecture andsolutions to feed our AIbased solutions and products and produceresearch that aims to be published in top AI conferences.Individuals in this role are expected to be experts in areas suchas artificial intelligence machine learning computationalstatistics and applied mathematics particularly in areas such asnatural language processing/understanding deep learning andcomputer vision.
KeyResponsibilities
- Lead andmanage complex R&D or implementation projects on appliedmathematics computer science and machine learning
- Bridgethe gap between the research and engineering teams by contributingresearch that can be applied to Upskills s products and solutions.
- Suggestand engage in team collaborations to meet the Research &Development Dept. goals.
- Reportand present experimental results and research findings bothinternally and externally verbally and in writing.
- Solvetechnical problems using all necessary tools (code software etc).focus on the delivery of a solution including interfaces API etc.
- Ensurequality and the frugality of the delivered solution
- Uponrequest collaborate with other groups activities including but notlimited to presenting the company to new prospective clientsparticipating in calls and meetings and representing Upskills inconferences/events.
Requirements
Masters or PhD or equivalent degree in Computer Science/ MachineLearning Data Science or a related scientific field.
Experience using deep learning frameworks such as TensorflowPytorch and/or Jax.
Excellent communication skills andcollaborative spirit. NICETOHAVE
Software engineeringexperience demonstrated via previous work contributions to opensource or coding competitions.
ML Engineering/MLOpsskills
Cloud computing platforms: Microsoft Azure AWS
Natural Language Processing Computer Vision or GraphNeural Network experience.
Benefits
Do something meaningful
Working in smalldiverse teams where you can make an impact
Variedchallenges across industries
Cooperation across Franceand Asian offices
Machine Learning, Data Science, Python,Programming, Quantitative Analysis, Cloud Computing, MLOps
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