Remote Staff Machine Learning Engineer

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Description:

  • Trustly is seeking a Staff Machine Learning Engineer to join their Data Science team and contribute to the model development and production lifecycle.
  • The role involves collaborating with Data Scientists, MLOps, and DataOps teams to implement machine learning models for assessing transactional risk and fraud.
  • Responsibilities include designing data-architecture flows for real-time model endpoints, engineering domain-specific features, building pipelines for deploying machine learning models, and implementing systems to monitor model performance.
  • The engineer will also design scalable architectures, conduct research for innovative ML engineering approaches, and mentor junior machine learning engineers.
  • The position is remote and allows flexibility while being part of a diverse team across multiple countries.

Requirements:

  • A Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or other technical disciplines is required.
  • Candidates must have substantial experience in data science and machine learning engineering.
  • Proficiency in programming languages such as Python, Scala, or Java is necessary.
  • Hands-on experience in implementing batch and real-time streaming pipelines using SQL and NoSQL database solutions is required.
  • Experience with AWS cloud services, CI/CD pipelines, and MLOps platforms is essential.
  • Candidates should have experience with machine learning modeling, particularly tree-based and boosting models for imbalanced target scenarios.
  • Proficiency in containerization and orchestration tools like Docker and Kubernetes is required.
  • Proficiency in English is mandatory.
  • Preferred qualifications include experience with ML applied to financial decision-making and distributed data systems.

Benefits:

  • Trustly offers a health and dental plan for employees and their dependents with no co-payment cost.
  • Life insurance with differentiated coverage is provided.
  • Employees receive meal and supermarket vouchers, as well as a home office allowance.
  • Access to Wellhub for physical activities and online classes is included.
  • Discounts at educational institutions and partner stores are available through Trustly Club.
  • Monthly happy hours with iFood coupons are organized.
  • An English program with online group classes is offered.
  • Extended maternity and paternity leave is provided.
  • Employees enjoy a Birthday Off and flexible hours with a remote-first culture.
  • A Welcome Kit with Apple equipment and other treats is given to new hires.
  • An annual premium based on company KPIs and individual performance is available.
  • A referral program rewards employees for referring candidates who are hired.
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