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Exness

Machine Learning Engineer

в Exness

250 000 —‍ 370 000 ₽/мес на руки

📍 Лимасол (Кипр)Полная удалёнка
Специализация
Data Science / Machine Learning
Уровень
Senior
Команда
6 - 10 человек

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 the 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 Business Data Scientists 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.

Stack

PythonCI/CDSQLAWSGoogle Cloud Platform

What you will do

  • Cleaning and understanding the data (checking logic, cleaning outliers if it is needed).
  • Feature engineering. Using different techniques of feature preparation, transformation, normalization, 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, our goal is to monitor its metrics to understand when we 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 the 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 the Russian language would be a plus but not mandatory.

We offer

  • Medical insurance for employees.
  • Co-working expenses compensation.
  • Get to know your Team” trip to Cyprus.
  • Sports activities compensation.
  • Extensive learning opportunities.
  • Flexible public holidays.
  • 100% pay for Annual leave.
  • Professional Development.
Ирина Калабухова Talent Acquisition Specialist
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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