Machine Learning Engineer @ hubQuest

Warsaw , Masovian Voivodeship, Poland

Type: n/a

Category: Construction & Trades

Requirements: English
Company: hubQuest
Region: Warsaw , Masovian Voivodeship

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 aMachine Learning Engineerto support our partner in developing aGlobal Analyticsunit - 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 ofMLOps.

About the Team

TheGlobal Analyticsteam is an innovative, diverse collective ofData 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.

What We Offer:

• High-impact projectsin AI, Business Intelligence, and IoT.
• Opportunity togrow in MLOpsand expand technical expertise.
• A global, diverse team with aflexible remote work policy.
• A modern office inWarsawwith great transport links.
• No corporate bureaucracy a casual, collaborative atmosphere.
• Benefits such asMultisportandprivate medical care.
• Access toonline courses, knowledge-sharing sessions, and certifications.

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! Apply now and become part of our dynamic team.

• At least 2 years of experienceapplying Machine Learning in an industry setting.
• StrongPython programming skills(must-have).
• Experience in writingproduction-grade ML code.
• Hands-on experience withML infrastructure at scale.
• Proficiency withAzure stack(Databricks, Azure ML, Azure Data Factory, Azure Functions, etc.).
• Experience withPySparkfor large-scale data processing.
• Knowledge ofSQLand ability to extract insights from databases.
• Understanding ofdata science conceptsand ML tooling.
• Strongsoftware engineering principles(coding standards, code reviews, CI/CD, testing).
• Experience working inagile environments.
• Excellent communication skills and ability to collaborate in an international team.
• Fluent English (you will communicate in English daily).

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 aMachine Learning Engineerto support our partner in developing aGlobal Analyticsunit - 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 ofMLOps.

About the Team

TheGlobal Analyticsteam is an innovative, diverse collective ofData 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.

What We Offer:

• High-impact projectsin AI, Business Intelligence, and IoT.
• Opportunity togrow in MLOpsand expand technical expertise.
• A global, diverse team with aflexible remote work policy.
• A modern office inWarsawwith great transport links.

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