Machine Learning Engineer

Location: Tashkent on-site

Andersen is hiring a Machine Learning Engineer in Tashkent for a project developing an automated corporate lending platform with ML-based credit scoring and predictive analytics to improve lending efficiency.

Our customer is a large international technology organization operating in the digital infrastructure domain. It develops and maintains high-load platforms that process and manage significant volumes of data across multiple regions. The engineering landscape includes distributed systems, cloud-based environments, system integrations, and advanced security practices, with a focus on reliability, scalability, and continuous platform evolution.

The project is focused on developing an automated corporate lending platform for businesses and individual entrepreneurs. It includes implementing ML-based credit scoring, predictive analytics, and a decision engine while optimizing underwriting processes to improve credit risk assessment, accelerate loan approvals, and enhance lending efficiency.

Requirements

• Experience as a ML Engineer for 5+ years.
• Experience working with Spark and feature stores in a banking environment, ensuring compliance with regulatory requirements.
• Experience with Python and MLOps.
• Experience with Docker and Kubernetes.
• Knowledge of CI/CD pipelines for ML models, model versioning, and drift monitoring (e.g., MLflow).
• Experience deploying ML models as APIs or services and integrating them with decision engines.
• Level of English – from Intermediate+ and above.

Reasons to join us

• Experience in teamwork with leaders in FinTech, Healthcare, Retail, Telecom, and others. Andersen cooperates with such businesses as Samsung, Siemens, Johnson & Johnson, BNP Paribas, Ryanair, Mercedes, TUI, Verivox, Allianz, T-Systems, etc..
• The opportunity to change the project and/or develop expertise in an interesting business domain.
• Guarantee of professional, financial, and career growth! The company has introduced systems of mentoring and adaptation for each new employee.
• The opportunity to earn up to an additional 1,000 USD per month, depending on the level of expertise, which will be included in the annual bonus, by participating in the company's activities.
• Access to the corporate training portal, where the entire knowledge base of the company is collected and which is constantly updated.
• Bright corporate life (parties / pizza days / PlayStation / fruits / coffee / snacks / movies).
• Certification compensation (AWS, PMP, etc).
• Referral program.
• Private health insurance and compensation for sports activities.