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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.