Senior Machine Learning Engineer
FinteqHub
full-time
Posted on:
Location Type: Remote
Location: Poland
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Job Level
Tech Stack
About the role
- Develop, train, and deploy machine learning models to support and optimize payment operations
- Work closely with a Product Analyst to translate business requirements into ML solutions
- Build and improve models for transaction scoring, anomaly detection, fraud detection, and payment routing optimization
- Automate decision-making processes using machine learning approaches
- Prepare and process data, including feature engineering and building data pipelines
- Monitor model performance and continuously improve model quality and reliability
- Participate in the design and development of ML solution architecture
Requirements
- 3+ years of experience in Machine Learning
- Strong proficiency in Python and ML libraries (scikit-learn, TensorFlow, PyTorch, etc.)
- Experience building and deploying models to production
- Solid understanding of statistics and data analysis methods
- Experience working with SQL and large-scale data processing
- Knowledge of A/B testing principles
- Ability to work with business requirements and translate them into ML tasks
Benefits
- Private insurance
- An additional Day Off (1) per calendar year
- Sports program compensation
- Comprehensive Mental Health Programme
- Free online English lessons with native speakers
- Generous referral program
- Training, internal workshops, and participation in international professional conferences and corporate events
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningPythonscikit-learnTensorFlowPyTorchdata processingstatisticsdata analysisA/B testingfeature engineering
Soft Skills
collaborationcommunicationproblem-solvinganalytical thinking