Our company was founded in 2008 and specializes in providing services for trading in the financial markets. We are a Fin-tech company. In the past few years, we have developed at an impressive rate and are recognized today as the top-5 largest brokers in the world.
Today we are rapidly growing: 1000+ employees by more than 70 nationalities. Exness was honored at the 13th IN Business Awards with the Best Workplace / Employer award! The reason for the nomination is our incredible leadership team, which drives and constitutes the company culture and ensures that employees, their wellbeing, and that of their families are at the core of this business. Our culture allows each employee to be the best version of themselves, constantly increasing their expertise. Some of our key values are Ethics & integrity + Smart scientific approach by creating our own scientific and algorithmic-led product.
One of the main growing functions is our Business Intelligence department in Cyprus, we’re on a mission in finding the best talent out there and looking forward to adding 🚀Machine Learning Engineer in the following Domains:
✔️Trading, Payments, Business development, User journey, Digital acquisition, KPIs, and performance management.
You will be a part of a machine learning team, which is the core of the business data science department. You will work closely with business data science researchers, and your goal will be to implement their ideas to production. You will get the model prototype from the research team, and your goal will be to create an accurate model from it. ML team is responsible for the whole machine learning project life cycle. The life of the model starts in production. You will be responsible not only for the deployment of the model but also for its serving, maintenance, and monitoring.
What you will do:
We want you to have:
What we offer / Benefits
*If you would like to learn about relocation opportunities to Cyprus, please contact the dedicated TA Specialist.
See more about our atmosphere here 🚀
We support candidates and do our best to help them feel good and to be successful in the company! Apply Today ⏳
Your application will be reviewed further and you will receive an update in due course if you are shortlisted. Due to the high volume of applicants, we are able to contact only shortlisted candidates at this point in time.
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