Senior Machine Learning Engineer

As a Machine Learning Engineer, you'll have the opportunity to shape the future of recommendation systems and make a significant impact on a dynamic startup.
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Remote Kyiv London Limassol Tbilisi

Are you ready to bring your Senior Machine Learning Engineer experience to the next level?

As a Data Scientist specializing in Machine Learning, you'll play a crucial role in developing and implementing cutting-edge recommendation algorithms. Your expertise will help drive user engagement, enhance customer experiences, and contribute to the growth of the company. You'll work closely with a talented cross-functional team to turn data into actionable insights that drive our recommendation platforms forward.

Key Responsibilities:

  • Design and implement machine learning models using Python libraries such as pandas and NumPy;
  • Develop and evaluate advanced machine learning algorithms, with a focus on regression, classification, and scikit-learn models;
  • Build, train, and deploy deep learning models, preferably with PyTorch, to solve complex problems;
  • Create and refine Recommender systems, employing techniques like collaborative filtering and deep learning methods;
  • Conduct model testing and validation to ensure accuracy and effectiveness;
  • Collaborate with cross-functional teams to integrate machine learning technology into our products and services;
  • Stay abreast of developments in the field and evaluate emerging technologies for potential application to business challenges.

Qualifications and Skills:

  • 5+ years of experience in Python programming with a strong grasp of libraries like pandas and NumPy;
  • 4+ years of hands-on experience in machine learning with a portfolio of models that have been put into production;
  • 2+ years of deep learning experience, with a preference for candidates proficient in PyTorch;
  • 2+ years of experience in designing and implementing Recommender systems;
  • Practical experience in deploying models in a AWS cloud environment, particularly using AWS SageMaker;
  • Experience in fine-tuning Large Language Models (LLMs), such as those offered by OpenAI, for specific company use cases like question-answering systems.


  • Competitive compensation package with equity options;
  • A Flexible work environment that values work-life balance;
  • Opportunity to work on cutting-edge technologies and shape the future of recommendation systems;
  • Collaborative and inclusive startup culture that encourages innovation and creative problem-solving;
  • Growth opportunities and the chance to take on additional responsibilities as the company expands.

Sounds interesting? Do not hesitate to apply or contact us if you have any questions!

Advantages of Our Company

Zero bureaucracy

Unlimited holidays

Medical insurance

Only top talent and top salaries

Challenging projects and tasks

Smartest colleagues in the industry

Our Principles

Celebrate diversity

Celebrate diversity

Innovation matters

Innovation matters

Ambitious goals

Ambitious goals

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We are always on the lookout for passionate clients and new talents to join us.

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