About us:
We're a US-based product company with development teams in both the US and Poland. Since October 2019, we've focused on streamlining the customer journey from order to successful renewal. Leveraging years of experience and insights from millions of subscribers, we've developed a smart, adaptable, and user-friendly payment system.
Your profile:
Join us as a Machine Learning Engineer to develop and implement cutting-edge machine learning models. You will work on extracting insights from data, building predictive systems, and integrating ML solutions into our products to drive innovation and efficiency. If you thrive on solving complex problems with data, this is for you.
Responsibilities:
Design, develop, test, and deploy machine learning models and algorithms.
Contribute to the implementation of scalable and robust data-driven solutions.
Analyze functional requirements related to data and predictive analytics.
Focus on creating solutions that provide valuable insights and automation.
Requirements:
4+ years of experience in machine learning engineering or data science.
Advanced knowledge of machine learning algorithms and statistical modeling.
Strong problem-solving skills.
Good spoken and written English level — Upper-Intermediate or higher.
Nice to have:
Master’s degree in Engineering, Computer Science, or another technical related field.
Experience with cloud-based ML platforms (e.g., AWS SageMaker, Google AI Platform).
Familiarity with Agile software development methodologies.
Net per month - B2B
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