TL;DR

Machine Learning Engineer (AI): Developing and enhancing production-ready data science applications and new AI services with an accent on designing robust AI solutions and maintaining high-load data pipelines. Focus on researching and adapting machine learning algorithms for specific business needs and performing predictive modeling.

Location: Remote

Company

%hirify_global% is a leading technology company founded in 1999, listed on the London Stock Exchange, providing innovative B2B products and services to the regulated gaming market.

What you will do

Develop and deploy production data science applications in Python.
Design and build new AI services from conception to deployment.
Maintain and enhance existing data science pipelines for high-load systems.
Collaborate with R&D and DevOps teams to integrate solutions.
Research, invent, and adapt machine learning algorithms for business needs.
Perform predictive and statistical modeling and ad-hoc analyses.

Requirements

Minimum of 3 years of experience as a Python developer (PyCharm, Git, debugging).
Minimum of 3 years of experience in predictive modeling within data science production services.
At least 3 years of experience in tabular or time series data analysis.
Proficiency in SQL for data manipulation and visualization.
English: High level of proficiency required.
Bachelor's degree in Engineering, Economics, Mathematics, Statistics, or similar.

Nice to have

Experience in REST API and cloud deployment (AWS or GCP).
Master's degree in Engineering, Economics, Mathematics, Statistics, or similar.
Experience in direct communication with business stakeholders.

Culture & Benefits

Opportunity to develop personalized recommendations and churn mitigation strategies.
Work in a data-driven environment focused on insightful reports.
Access to cutting-edge technologies and continuous innovation.
Commitment to responsible user experiences and inclusive teams.