Machine Learning Engineer

작업 내용

Orange is the next generation telecom operator on the Belgian and Luxembourgish market and digital transformation is one of our strategic priorities. To carry this out, we are continuously investing in our talents to log into all of tomorrow’s challenges.

To reinforce our Data Tribe, we are currently looking for a motivated Machine Learning Engineer !

What will be your mission?

After having developed advanced data models, it’s time to scale up and build a robust and efficient model factory connected with Orange systems and able to influence business processes in real time.

The machine learning engineer is the master of the model factory. (S)he will deploy large scale models into production to maximize the value of Orange data across all channels.

What are your key responsibilities?

• Deploy large scale machine learning products into production environment (in cloud and on premise environments)
• Review, optimize and simplify the code to ensure quality and reusability
• Monitor the quality of input variables and the performances of the models outputs.
• Extend existing machine learning libraries and frameworks
• Assess the data we collect, its quality and completeness and make suggestions to improve them for use as solid machine learning data sets
• Develop real-time data processing solutions
• Collaborate with data engineers to develop data and model pipelines

Are you the profile we are looking for?

• Minimum 3 years’ experience doing quantitative analysis and using complex statistical models
• PhD degree or Master degree in Computer Science, Machine Learning, Statistics, or related fields

Specific expertise:

• Strong programming and data analytics skills.
• Expert understanding of git, Python and at least one deep framework such as TensorFlow / Keras or PyTorch is a must.
• Up-to-date knowledge of machine learning techniques, general deep learning and predictive modelling
• Strong understanding of Google Cloud Platform, DevOps and software development tools
• Expertise in Data Ingestion / Processing and Modelling: you are able to express complex data needs and understand data quality-cleansing processes & methods
• Extensive Corporate Data Knowledge: aware of critical company business processes and underlying data, you are able to challenge data quality
• Fluency in SQL for writing efficient queries on large datasets
• Good knowledge of Linux operating system
• Ability to write robust code in Python, Java and R

Why should you join us?

You will be part of a fun and dynamic working environment where your contributions will be valued and where you will have every opportunity for personal development. Moreover, you can look forward to the following compensation and benefits package: a market competitive salary, bonus, company car (or cash allowance), meal vouchers, 32 holidays per year, pension provision, life assurance and accident cover, hospitalization insurance.

We believe that simple things do make a difference. Therefore, we also offer: 50% home working, use of a mobile phone, free mobile subscription, company restaurant,...

Interested? Then we would like to hear from you!