data scientist for AI-powered safety solutions

Andersen is a pre-IPO software development company providing full-cycle services to enterprises and mid-sized firms. The company develops digital solutions using innovative technologies and follows project management standards and best practices.

• 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.

• 5+ Years of experience in DS/ML with a strong focus on the modern AI stack;
• Hands-on experience with RAG systems, including vector databases, embedding models, and semantic search;
• Practical LLM experience with fine-tuning, system-level prompt engineering, and LLM evaluation;
• Experience with audio and speech processing, such as ASR, speaker diarization, audio event detection, or conversation analysis;
• Familiarity with GenAI product development and LLM-based reasoning pipelines;
• MLOps skills for deploying and monitoring LLM and audio models in production;
• Experience with streaming and asynchronous data pipelines;
• Proficiency in Python and core DS/ML libraries;
• English at Intermediate+ level or above;
• Nice to have: understanding of safety, risk, or compliance contexts.

• Fully remote, office-based, or hybrid work options are available;
• Professional, financial, and career growth opportunities;
• Up to an additional 1,000 USD per month depending on expertise, included in the annual bonus, for participating in company activities;
• Corporate training portal access;
• Certification compensation, including AWS and PMP;
• Referral program;
• Private health insurance;
• Sports activity compensation;
• Mentoring and onboarding systems;
• Corporate events and amenities, including parties, pizza days, PlayStation, fruits, coffee, snacks, and movies.