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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
Have 5+ years of DS/ML experience in a production environment;
Have deep expertise in Computer Vision, including liveness, anti-spoofing, face analysis, and image/video classification;
Have a solid NLP background, including text classification, entity extraction, and behavioral text signals;
Have experience with PyTorch or TensorFlow;
Have strong MLOps skills, including model deployment, versioning, monitoring, and drift detection;
Have hands-on experience with high-load, mobile-first products;
Have experience with fraud and abuse detection and risk scoring systems;
Have proficiency in Python, Pandas, NumPy, and Scikit-learn;
Have 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.
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