Machine Learning Engineer

2 weeks ago

Wrocław, Województwo dolnośląskie, Czech Republic beBee Careers Full time
Role Summary

This is an exciting opportunity to work as a Data Scientist/ML Engineer, focusing on developing and deploying AI and ML solutions at scale. The ideal candidate will have a strong background in machine learning, experience with cloud-based data solutions, and excellent communication skills.

About the Role

As a Data Scientist/ML Engineer, you will be responsible for collecting, cleaning, and analyzing large datasets to identify patterns and trends. You will also develop predictive models and algorithms to solve complex business problems. Additionally, you will communicate your findings and insights to stakeholders in a clear and concise manner.

Key Responsibilities
  • Data Analysis: Collect, clean, and analyze large datasets to identify patterns and trends.
  • Modeling: Develop predictive models and algorithms to solve complex business problems.
  • Communication: Communicate findings and insights to stakeholders in a clear and concise manner.
Requirements

The successful candidate will possess:

  • A Master's degree in a quantitative field (e.g., computer science, mathematics, physics, engineering, bioinformatics).
  • Minimum 2 years of hands-on industry experience with ML, AI, MLOps, or data science projects.
  • Expert knowledge of supervised and unsupervised machine learning techniques.
  • Familiarity with MLOps frameworks, machine learning model deployment formats, and cloud-based ML pipelines.
  • Fluent in Python and common machine learning libraries (e.g., sklearn, pytorch/keras/tensorflow/opencv).
Preferred Skills

The following skills are highly desirable:

  • Expertise in recommendation systems.
  • Familiarity with agile software development and professional software development practices.
What We Offer

In return, you can expect:

  • A deep understanding of domain knowledge in molecular biology and biotechnology.
  • Exposure to and hands-on experience in developing modern cloud data solutions.
  • The opportunity to work in an experienced and engaged team consisting of Data Engineers, Data Scientists, Machine Learning Engineers, and stakeholders from different business domains.
Additional Benefits

You will also enjoy:

  • Sport subscription.
  • Training budget.
  • Flat structure.
  • Multisport card.
  • Cafeteria system.
  • Insurance.
  • Integration events.
  • Friendly atmosphere.
  • Free coffee.
  • Gym.
  • Bike parking.
  • Canteen.
  • Modern office.
  • No dress code.

This is an exciting opportunity to join our dynamic team and contribute to the development of cutting-edge AI and ML solutions.

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