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Data Scientist - Machine Learning Engineer - Remote

Posted 6 days ago
Software Development
Full Time
Poland

Overview

As a Data Scientist - Machine Learning Engineer at Unit4, you will help design, develop, and deploy machine learning models that drive innovation and efficiency in our software solutions.

In Short

  • Collaborate with cross-functional teams to support the design and integration of responsible ML solutions.
  • Design, develop, deploy, and maintain machine learning models.
  • Implement ML workflows using MLOps best practices.
  • Ensure performance, reliability, scalability, and security of ML models.
  • Implement responsible AI principles for fairness and transparency.
  • Stay updated with trends in machine learning and MLOps.

Requirements

  • Bachelor’s degree in Computer Science, Mathematics, Physics or related field.
  • Master’s degree in Data Science, AI, or related field is desirable.
  • Strong understanding of machine learning and MLOps.
  • Proficiency in Python and experience with ML frameworks.
  • Experience with Azure and ML lifecycle management tools.
  • Experience with big data technologies is a plus.
  • Strong problem-solving skills and attention to detail.
  • Excellent communication and collaboration skills.
  • Ability to work in an agile environment.

Benefits

  • Culture built on trust with freedom and autonomy.
  • Uncapped time off policy and remote working opportunities.
  • Work with talented colleagues and mentors.
  • Commitment to sustainability and societal benefits.
  • Safe and inclusive working environment with Employee Resource Groups.
Unit4 logo

Unit4

Unit4 is a people-centric company dedicated to empowering service organizations through innovative enterprise and business software solutions. With a focus on delivering adaptive, intuitive, and self-driving ERP systems, Unit4 transforms the way people work, enabling them to engage in meaningful, high-value tasks. The company emphasizes a culture built on trust, offering flexibility, professional development opportunities, and a commitment to sustainability, all while fostering an inclusive environment for its employees.

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