Founded in 2011, Lingua Custodia is the unique Fintech expert in Machine
Learning applied to financial translations. We are developing smart
translation engines specialised by document types or customised for a
client. Our ambition is to help financial institutions to use their
linguistic data more efficiently so that they can spend less time and
money in translation and communicate rapidly and effectively with their
clients whatever their native language may be. Our clients are mid to
large financial institutions (AXA, HSBC, BNP-Paribas, ...) mostly located
in Europe and some in Asia. Lingua Custodia is a founding member of
France Fintech, certified by Finance Innovation since 2014 and member of
the Luxembourg  House of Financial Technology (the LHoFT). The company
is widely recognised for its innovation capability and has been
regularly awarded. We are just about to close a fund raising operation
in order to fuel our growth and international development. Opening a new
office in Luxembourg is already scheduled in September 2019.

Lingua Custodia's team is composed of a diversified mix of profiles,
strongly skilled in their area of expertise, all committed to our
entrepreneurial adventure. But what we value the most at Lingua Custodia
are soft skills: Team spirit, trustfulness, open-minded thinking,
enthusiasm, freedom to try new ideas or practices.

We are currently hiring a Machine Learning Engineer: to implement the
best optimisation for our neural Machine Translation systems.


Responsibilities

The Machine Learning Engineer will be in charge of Lingua Custodia's
Neural Machine Translation systems in production. His/her work will be
in constant collaboration with the Data Management, Research and
Development, IT and product specialist teams in order to design and
implement efficient Machine Learning techniques, and to build strong
Neural Machine Translation models.


- Build Neural Machine Translation systems for production
- Design and run experiments to improve translation quality: optimal
  hyper-parameter set, best use of specific datasets, etc.
- Implement needed functionalities in Neural Machine Translation
  frameworks
- Implement and evaluate state-of-the-art models
- Optimize inference in production
- Contribute to open source projects
- Improve data pre-post-processing pipeline
- Participate in user feedback processing

Qualifications

- Master's degree in Computer Science with a major in Machine
  Learning.
- Strong knowledge of Natural Language Processing
- Good knowledge of neural sequence-to-sequence architectures:
  Recurrent Neural Networks, Attention mechanism, Transformers.
- Experience with domain adaptation techniques in low-resource conditions.
- Experience in Linux environment: Bash scripting.
- Proficiency in Python and/or C++
- Proficiency in at least one neural framework: TensorFlow, Pytorch,
  MxNet, etc.
- Knowledge of at least one Machine Translation toolkit: Sockeye,
  Tensor2Tensor, MarianNMT, etc.
- Experience with agile software development

Benefits


- Friendly startup environment
- Laptop
- Possibility to work remotely
- Good health insurance


Applications are expected by email: hr@linguacustodia.com

Please, specify the position name in subject field.