Описание
Andersen is a pre-IPO software development company that provides full-cycle services to enterprises and middle-sized firms, helping them transform their businesses through digital solutions and innovative technologies.
Задачи
•Design and deploy CV models for liveness detection and anti-spoofing
•Build NLP pipelines for behavioral signal extraction and incident analysis
•Own the full ML lifecycle, including data annotation, training, deployment, and monitoring
•Develop and maintain fraud and abuse detection systems
•Contribute to safety scoring using behavioral and historical data
•Integrate ML models with backend services and mobile infrastructure
•Participate in system architecture discussions
•Collaborate with the product team on hypothesis definition and validation
Требования
•5+ years of DS/ML experience in a production environment
•Deep expertise in Computer Vision, including liveness, anti-spoofing, face analysis, and image/video classification
•Solid NLP background, including text classification, entity extraction, and behavioral text signals
•Experience with PyTorch or TensorFlow
•Strong MLOps skills, including model deployment, versioning, monitoring, and drift detection
•Hands-on experience with high-load, mobile-first products
•Experience with fraud and abuse detection and risk scoring systems
•Proficiency in Python, Pandas, NumPy, and Scikit-learn
•English proficiency at Intermediate+ level or above
•Nice to have: familiarity with graph models or relational behavioral analysis
Условия
•The opportunity to change the project and develop expertise in an interesting business domain
•Professional, financial, and career growth opportunities
•Mentoring and adaptation systems for each new employee
•The opportunity to earn up to an additional 1,000 USD per month depending on expertise, included in the annual bonus through participation in company activities
•Access to the corporate training portal
•Corporate events and activities, including parties, pizza days, PlayStation, fruits, coffee, snacks, and movies
•Certification compensation, including AWS and PMP
•Referral program
•Private health insurance and sports activity compensation
•Work is available fully remotely, from the office, or in a hybrid format
