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Machine Learning Engineer @ hubQuest

Machine Learning Engineer @ hubQuest

hubQuestWarsaw, Poland
30+ days ago
Job description

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 .

About the Team

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.

What We Offer :

  • 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 .
  • A modern office in  Warsaw  with great transport links.
  • No corporate bureaucracy  – a casual, collaborative atmosphere.
  • Benefits such as  Multisport  and  private medical care .
  • Access to  online 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 experience  applying Machine Learning in an industry setting.
  • Strong  Python programming skills  (must-have).
  • Experience in writing  production-grade ML code .
  • Hands-on experience with  ML infrastructure at scale .
  • Proficiency with  Azure stack  (Databricks, Azure ML, Azure Data Factory, Azure Functions, etc.).
  • Experience with  PySpark  for large-scale data processing.
  • 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).
  • Experience working in  agile 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 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 .

    About the Team

    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.

    What We Offer :

  • 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 .
  • A modern office in  Warsaw  with great transport links.
  • No corporate bureaucracy  – a casual, collaborative atmosphere.
  • Benefits such as  Multisport  and  private medical care .
  • Access to  online 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.

    Develop production-level ML libraries and algorithms for existing and future products., 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., Conduct code reviews and provide insightful feedback to peers.] Requirements : Machine learning, Python, Azure, SQL, Databricks, MLOps Tools : Agile, Scrum. Additionally : Sport subscription, Private healthcare, Training budget, Small teams, International projects, Free coffee, Bike parking, Free beverages, In-house trainings, In-house hack days, Modern office, No dress code.

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    Machine Learning Engineer • Warsaw, Poland