ML-инженер (FinTech)

Location: Tashkent, onsite

Company

Andersen delivers technology projects for international customers, including a high-load digital infrastructure platform and an automated corporate lending solution.

What you will do

• Deploy machine learning models to production and integrate them into the credit decisioning pipeline.
• Monitor model performance and drift.
• Deploy models as APIs or services and connect them with decision engines.
• Develop ML capabilities for credit scoring, predictive analytics, and automated underwriting.

Requirements

• 5+ years of experience as a Machine Learning Engineer; the posting also specifies more than 6 years of overall experience.
• Experience with Spark and feature stores in a banking environment, including regulatory compliance.
• Experience with Python and MLOps.
• Experience with Docker and Kubernetes.
• Knowledge of CI/CD pipelines for ML models, model versioning, and drift monitoring, such as MLflow.
• Experience deploying ML models as APIs or services and integrating them with decision engines.
• English: Intermediate+ or higher required.

Culture & Benefits

• Opportunity to work with leaders in FinTech, Healthcare, Retail, Telecom, and other industries.
• Ability to change projects and develop expertise in different business domains.
• Mentoring, onboarding, and professional, financial, and career development programs.
• Up to an additional 1,000 USD per month based on expertise, paid through the annual bonus for participation in company activities.
• Corporate training portal, certification compensation, private health insurance, and sports activity compensation.
• Corporate events and employee activities, including parties, pizza days, PlayStation, movies, and refreshments.