Machine Learning Engineer – Senior

Malta
Training
Full-time

13 days ago

Overview:SOFTSWISS continues to expand the team and is looking for a Machine Learning Engineer. We need a hands-on specialist who will help us build and scale intelligent solutions for payment optimization within our FinteqHub product.This will be the first ML Engineer in the team, giving you the opportunity to shape ML practices, influence technical decisions, and build solutions from the ground up in a fast-growing fintech environment.About Product:FinteqhubА PCI DSS certified payment gateway for online businesses, providing integration with payment systems via a single software platform.Purpose of the role:To design, develop, and deploy machine learning models that improve payment performance and reliability within FinteqHub, while laying the foundation for ML direction across the product.The role focuses on optimizing transaction flows, detecting fraudulent activity, and enabling data-driven decision-making. You will contribute directly to increasing conversion rates, reducing declines and fraud risks, and improving the overall efficiency of payment operations through intelligent automation and scalable ML solutions.Key responsibilities:

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

Required Experience:

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

Nice to have:

Experience with payment systems or fintech products
Experience developing anti-fraud systems
Knowledge of MLOps (CI/CD for models, monitoring, deployment)
Experience working with streaming data (e.g., Kafka)

Learn more about our hiring process here ( ) - what to expect, how to prepare, and what makes SOFTSWISS different.Main Advantages

Private insurance (depending on contract type)
Paid gym membership
Comprehensive Mental Health Program
Free English lessons (online)
Local language courses
+1 day off per calendar year
Referral program rewards
Upskilling, internal workshops, and participation in professional conferences and corporate events

Softswiss

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