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Exness

Machine Learning Engineer (CY)

в Exness

270 000 —‍ 360 000 ₽/мес на руки

📍 Лимасол (Кипр)Помощь с переездом
Специализация
Data Science / Machine Learning
Уровень
Senior
Команда
6 - 10 человек

Exness, a leading fintech company in the CFD trading area, is looking to hire a skilled Machine Learning Engineer to join their international BI team in Limassol, Cyprus.

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.

Stack

PythonCI/CDSQLAWSGoogle Cloud Platform

Time zone

(GMT+3) Limassol, Cyprus.

Why we are recommending

  • Exness is an international Fintech company that has been operating on the international market for many years.

You will be responsible for

  • Cleaning and understanding the data (checking logic, cleaning outliers if it is needed).
  • Feature engineering. Using different techniques of feature preparation, transformation, normalisation or generation.
  • Model training and evaluation. Develop kubeflow pipelines for model training and experimenting.
  • Model deployment. Create Argo workflow pipelines to run models in production.
  • Model monitoring and maintenance. After the model is ready, their goal is to monitor its metrics to understand when they should interfere and update the model.

Requirements

  • MS degree in Computer Science or similar fields. Or demonstrable working experience in software engineering.
  • 3+ years of industry experience in software engineering on Python. You are able to build applications and are familiar with best practices such as CI/CD, testing and coding standards.
  • 3+ years in machine learning experience. Deep understanding of classic models like linear regression, logistic regression, or gradient boosting decision trees.
  • Good understanding of mathematical statistics and probability theory.
  • Strong knowledge of SQL (complex queries, analytic functions).
  • Experience with cloud platforms (AWS, Google Cloud). Experience with Argo and Kubeflow is a plus.
  • At least upper-intermediate English. Knowledge of Russian language would be a plus but not mandatory.

Company offers

  • Official employment in accordance with the laws of Cyprus and the EU and local registration of family members.
  • Medical insurance for employees and family members.
  • Corporate Mini Cooper CountryMan S (for relocated employees).
  • Relocation package (visa, tickets, corporate flat for 1 month) for a successful candidate and his/her family.
  • Сompany fitness center for employees and their spouses.
  • English and Greek language classes.
  • Kindergarten/school compensation program.
  • Excellent office with fresh juices, cookies and the best view to the sea from their own roofbar.

Useful links

  • Company YouTube channel: link.
Алина Захарова Tech Recruiter
Exness

О компании Exness

Сфера
Банки / Финтех
Инвестиции
Приватное финансирование
Размер
1001+

Exness Group is a global multi-asset broker that was founded in 2008 with the mission to reshape the online trading industry. We aim to maximize our client's potential when trading the markets by offering better-than-market conditions on currencies, crypto, stocks, indices, metals, and commodities.

Our fresh scientific and ethical approach has resonated with traders around the world, and the company has gone from strength to strength, with trading volumes hitting new monthly records in 2023 at $5 trillion from an active client base of 800,000. We think business and act human. Our growing community has more than 2,0100 employees in offices located in Asia and Europe.

Exness is the place for global teamwork, incredible leadership, a learning culture, and constant development. We are constantly expanding into new markets, and we're looking for a passionate team to help us grow. If you are looking for a new challenge and want to be a part of the future of online trading, please check out our open positions.

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