Data Scientist / ML Engineer

Andersen is hiring a Data Scientist / ML Engineer for a project developing AI-powered solutions, scalable ML systems, and intelligent technologies for high-load digital platforms. Andersen is a pre-IPO software development company that provides a full cycle of services, following project management standards and best practices. For over 19 years, we have been helping enterprises and middle-sized firms transform their businesses by creating effective digital solutions using innovative technologies. The project is focused on building and deploying AI-powered safety solutions for a client platform. The core goal is to protect users through ML systems covering liveness detection, safety scoring, fraud & abuse detection, and audio analysis. The team works in a high-load, production-first environment, translating product hypotheses into scalable ML solutions.

Responsibilities: - Designing and deploying CV models for liveness detection and anti-spoofing. - Building NLP pipelines for behavioral signal extraction and incident analysis. - Owning full ML lifecycle: data annotation, training, deployment, monitoring. - Developing and maintaining fraud & abuse detection systems. - Contributing to safety scoring using behavioral and historical data. - Integrating ML models with backend services and mobile infrastructure. - Participating in system architecture discussions. - Collaborating with the product team on hypothesis definition and validation.

Requirements: - Experience in DS/ML in a production environment for 5+ years. - Deep expertise in Computer Vision: liveness/anti-spoofing, face analysis, image/video classification. - Solid NLP background: text classification, entity extraction, behavioral text signals. - Experience with deep learning frameworks (PyTorch / TensorFlow). - Strong MLOps skills: model deployment, versioning, monitoring, drift detection. - Hands-on experience with high-load, mobile-first products. - Experience with fraud/abuse detection and risk scoring systems. - Familiarity with graph models or relational behavioral analysis is a plus - Proficiency in Python (Pandas, NumPy, Scikit-learn). - Level of English – from Intermediate+ and above.

Compensation: 3425–5400 EUR per month.