machine learning engineer in fintech

Elinext is an international software development company with over 25 years of experience that helps clients worldwide build and scale reliable digital products across Fintech, Healthcare, Manufacturing, AI/ML, Cloud, Enterprise Software, and other domains.

• Develop, deploy, and maintain machine learning models and services;
• Keep existing ML solutions performant, stable, and robust;
• Turn research prototypes into production-grade ML systems;
• Harden code and add tests, logging, monitoring, and observability;
• Own model serving, deployment, scaling, and lifecycle management;
• Monitor model performance and detect drift;
• Build and maintain retraining processes;
• Engineer and evaluate features on real financial datasets;
• Calibrate and validate models to ensure reliable behavior;
• Build and improve data pipelines;
• Collaborate with software engineers and data scientists;
• Document approaches, experiments, and architecture decisions.

• Strong software engineering skills in Python;
• Clean, typed, maintainable, and well-tested code;
• Experience with version control and CI/CD;
• Strong knowledge of NumPy, Pandas, scikit-learn, and PyTorch;
• Solid understanding of machine learning, statistics, and model evaluation;
• Proven experience taking ML models into production;
• Experience with model serving, monitoring, drift detection, and retraining;
• Experience building production APIs and services with FastAPI, Flask, or similar;
• Experience with Docker and containerization;
• Experience deploying services on Kubernetes or similar environments;
• Strong feature engineering experience with structured and tabular data;
• Experience working with large datasets and reliable data pipelines;
• Strong communication skills with technical and business stakeholders;
• Nice to have: financial or fintech project experience, production MLOps practices, highly scalable ML platforms, model explainability and reproducibility, distributed data processing or cloud environments.

• 25 Calendar days of vacation and 5 additional paid sick days;
• Medical insurance;
• Corporate English courses;
• Corporate events and team-building activities;
• Support with professional certifications;
• Reimbursement for professional courses and training;
• Long-term international projects;
• Opportunities for professional and technical growth.