Machine Learning Engineer

You will

• Review and understand the data, including checking logic and cleaning outliers as needed.
• Carry out feature engineering using different techniques of feature preparation, transformation, normalization, or generation.
• Conducted model training and evaluation, developed Airflow DAGs for model training, and experimented with them.
• Be responsible for model monitoring and maintenance — after the model is ready, our goal is to monitor its metrics to understand when we should interfere and retrain the model.

What makes you a great fit

• MS degree in computer science or a similar field or demonstrable working experience in software engineering.
• 3 or more years of industry experience in MLops and MLE with Python.
• Experience with Airflow.
• Ability to build applications and familiarity with best practices such as CI/CD, testing, and coding standards.
• 3 or more 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, including complex queries and analytic functions.
• At least an upper-intermediate level of English.

What we offer along the way

• Competitive and attractive compensation.
• Extensive learning opportunities, such as professional training and certifications, soft skills development, free English courses, and trading workshops.
• Flight tickets, hotel or apartment accommodation for your first month, migration support, and legal help for you and your family.
• Health and life insurance for employees, spouses, and children, including vaccinations, tests, mental health care, and coverage for vision and dental care.
• Generous time off, including 21 days of annual leave and paid sick leave.
• Education allowance for your children’s school and kindergarten fees.
• Access to our very own sports club with dedicated coaches, free Sanctum Club memberships for you and your spouse, corporate SUPs, jet skis, etc.
• A branded company car with a parking space near the office.
• Outstanding team-building experiences and Exness community gatherings.

Your journey after applying

• Interview with a Talent Acquisition Specialist (45 minutes).
• Short online English test (for non-native speakers).
• Technical interview (1,5 hours).
• Test task (optional) (7 days).
• Behavioral interview (1 hour).

For this role, the successful candidate should be based/ relocate to Cyprus. Therefore, If you would like to learn about relocation opportunities to Cyprus, please ask for additional information on the first interview with the TA Specialist.