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Machine Learning Engineer

1 miesiąc temu


Niepołomice, Lesser Poland Tesco Technology Pełny etat
About the Role

We are seeking a talented Machine Learning Engineer to join our Data Science Engineering team at Tesco Technology. As a key member of our team, you will work closely with data scientists, product managers, and engineers to deliver innovative solutions that improve our customers' experiences and drive business growth.

As a Machine Learning Engineer, you will be responsible for designing, developing, and deploying machine learning models that drive business outcomes. You will work with our data scientists to develop and implement machine learning algorithms, and collaborate with our engineering teams to integrate these models into our production systems.

We are looking for a highly motivated and experienced Machine Learning Engineer who is passionate about building scalable and efficient machine learning systems. If you have a strong background in machine learning, software engineering, and data science, and are excited about working in a fast-paced and dynamic environment, we encourage you to apply for this role.

Key Responsibilities

  • Design, develop, and deploy machine learning models that drive business outcomes
  • Collaborate with data scientists to develop and implement machine learning algorithms
  • Work with engineering teams to integrate machine learning models into production systems
  • Develop and maintain high-quality code that meets our engineering standards
  • Participate in code reviews and contribute to the improvement of our codebase

Requirements

  • 2-3 years of experience in machine learning engineering or a related field
  • Strong background in machine learning, software engineering, and data science
  • Experience with Python, TensorFlow, or PyTorch
  • Knowledge of data structures and algorithms
  • Ability to work in a fast-paced and dynamic environment

What We Offer

  • A competitive salary and benefits package
  • Opportunities for professional growth and development
  • A collaborative and dynamic work environment
  • Access to cutting-edge technology and tools