JOBS: AI Deep Learning

Job Summary

We are looking for an experienced Data Scientists to join our existing Deep Learning team in developing and refining face analytics applications.
If you are a recent graduate self – motivated & fast learner, don’t hesitate to apply even if you don’t meet all experience requirements.
The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action.
You must have strong experience using a variety of data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations.
You have passion for cutting edge products in the field of AI, Computer Vision, Mobile. Learn about MoodMe Face AI products.
You must have a proven ability to drive business results with their data-based insights.
You must be comfortable working in team and sharing knowledge with peers in industry and academia.
MoodMe contracts part of its R&D to University of Mons, Belgium and another with Texas A&M. Read the Press Release.
The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.

Responsibilities

  • Work with stakeholders throughout the organization to identify opportunities for leveraging data to drive business solutions
  • Mine and analyze data from databases to drive optimization and improvement of product development, marketing techniques and business strategies
  • Assess the effectiveness and accuracy of new data sources and data gathering techniques
  • Develop custom data models and algorithms to apply to data sets
  • Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes
  • Coordinate with different teams to implement models and monitor outcomes
  • Develop processes and tools to monitor and analyze model performance and data accuracy

Qualifications

  • Strong with Statistics and can code in either Python or Java
  • Experience with designing and building using micro-services architectural pattern, web APIs using dotnet core & C#
  • Experience and passion for simulations, optimization, neural networks, artificial intelligence (deep learning and machine learning)
  • Able to understand statistical solutions and execute similar activities
  • Experience in data wrangling and advanced analytic modeling
  • Strong communication and organizational skills and has the ability to deal with ambiguity while juggling multiple priorities and projects at the same time
  • Ability to investigate the feasibility and data requirements necessary to develop an ML solution for a given problem
  • Ability to design, build and test production ready ML-based products while interpreting and explaining the basis for predictions generated by ML models

Preference

  • Knowledge and experience using one or more of the following, or similar, machine learning software frameworks: CAFFE, Torch, PyTorch, Keras and Tensorflow
  • Knowledge of embarked AI (AI on the edge).

Job Type: Full-time Employee or Contractor

Salary: market, depending on candidate’s experience

Experience: Data Science: 2 years

Education: Master’s

Location: Work from Home, availability to relocate to Belgium. Video calls as needed with CTO, Tech Team & Uni. Mons R&D teams.

Travel authorization: Belgium