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We are a team of experts dedicated to driving innovation through advanced analytics and AI-powered solutions. Our mission is to help organizations become truly data-driven by building cutting-edge technology teams from scratch and expanding existing units.
Currently, we are looking for a Machine Learning Engineer to support our partner in developing a Global Analytics unit - a centralized team dedicated to strengthening data-driven decision-making and creating smart data products for day-to-day operations.
Machine Learning Engineer will contribute to the development of scalable ML solutions.
This role is ideal for someone who is passionate about ML engineering and eager to grow in the field of MLOps .
The Global Analytics team is an innovative, diverse collective of Data Scientists, Data Engineers, ML Engineers, MLOps Engineers, Business Intelligence Specialists, Software Developers, UX Designers , and more, with a presence across three continents and five countries. The team fosters collaboration, drives innovation, and ensures reliability, transforming the entire organization into a leader in data-driven decision-making.
Improve and maintain ML infrastructure for model training, deployment, and monitoring.
Design and implement scalable and efficient model training workflows for large-scale applications.
Develop and enhance end-to-end machine learning pipelines .
Optimize data ingestion and feature engineering processes.
Write high-quality code to enhance machine learning capabilities.
At least 2 years of experience applying Machine Learning in an industry setting.
Strong Python programming skills (must-have).
Proficiency with Azure stack (Databricks, Azure ML, Azure Data Factory, Azure Functions, etc.).
Knowledge of SQL and ability to extract insights from databases.
Understanding of data science concepts and ML tooling.
Strong software engineering principles (coding standards, code reviews, CI/CD, testing).
Excellent communication skills and ability to collaborate in an international team.
Fluent English (you will communicate in English daily).
High-impact projects in AI, Business Intelligence, and IoT.
Opportunity to grow in MLOps and expand technical expertise.
A global, diverse team with a flexible remote work policy .
No corporate bureaucracy – a casual, collaborative atmosphere.
Benefits such as Multisport and private medical care .
If you are eager to work on real-world AI challenges, optimize machine learning solutions, and grow in MLOps, we would love to hear from you!