Andersen Lab

data scientist for AI-powered safety solutions

In short

Senior Data Scientist role at Andersen, a pre-IPO software development company, to build AI-powered safety solutions including computer vision models for liveness detection, NLP pipelines for behavioral analysis, and fraud detection systems. The role requires owning the full ML lifecycle from data annotation to deployment and monitoring, with strong emphasis on RAG systems, LLMs, and audio/speech processing. Candidates need 5+ years of DS/ML experience, hands-on LLM and MLOps skills, and Intermediate+ English. Work is fully remote, office-based, or hybrid.

О компании
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.
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 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
Условия
•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

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