Data Scientist - AI Engineer

Quortex is hiring!


Quortex is an innovative start-up developing solution for live video content delivery “Over-The-Top”. The AI-based Quortex solution, relying on key patents, aims to revolutionize the live content delivery chain breaking the last major technological limitations in terms of massive scalability while lowering infrastructure and network costs. Quortex changes the paradigm of content delivery by introducing “Just In Time Everything”, a Cloud-Native technology that builds the workflow based from the user demand, not from the content origination. Combining this patented architectural breakthrough with the latest advances in Artificial Intelligence makes our solution fully adaptive to unpredictable network, infrastructure and audience dynamics. As a fast-growing tech start-up, we’re looking for talented, curious and inspired people who want to disrupt the way live content reaches billions across the world. At Quortex, we do believe that employees are the most valuable assets. If you want to be part of the Quortex adventure, join us!

Job Description


As part of the R&D Group, Quortex Data Scientist – AI Engineers are responsible for: • Design and implementation of models that replicate resources usage of our cloud-
native content delivery solution

• Extract optimal resources balancing models and rules
• Optimization and robustification of the Data processing pipeline
• Support collection and annotation of Data in collaboration with DevOps and Framework Engineers
• Integration of business-rules in the proposed models
• Model validation by using and/or enhancing existing methodologies on field Data
• Continually evaluate emerging AI methodologies and technologies
• Patent filling if applicable


• Salary package based on experience

Preferred Experience


• Strong experience in Machine Learning, including Deep learning and Statistical models
• Strong experience in supervised and unsupervised learning approaches
• Programming skills in Python (and/or Go) and Scripting Languages
• Strong experience with scientific frameworks/libraries (e. g. TensorFlow, numpy, etc.)
• Experience with data/metrics aggregation frameworks (e.g. Prometheus etc.)
• Knowledge of database and Big Data architecture (e.g. MongoDB, Cassandra etc.)
• Ability to work in fast paced startup environment
• Strong communication skills

It would be even better if you have

• A good knowledge of Linux operating system
• Experience writing unit and functional tests
• Experience with software systems architecture, web services, web applications, and current software development tools, technologies and frameworks
• Knowledge of MLaaS services: Amazon Machine Learning services, Azure Machine Learning, Google Cloud AI, and IBM Watson
• Experience with OTT content delivery workflow
• Experience with Docker and Kubernetes
• Familiarity using Git and Jenkins

Additional Information

  • Contract Type: Full-Time
  • Location: Cesson-Sévigné, France (35510)
  • Education Level: Master's Degree