Machine Learning Developer

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Group-IB

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2003

🔒 Cybersecurity

💼 Consulting

☁️ SaaS

💰 Grant - Group-IB on 2020-07

Cybersecurity • Consulting • SaaS

Group-IB is a global cybersecurity company that helps organizations prevent, investigate, and respond to cybercrime. It offers a mix of products (the Unified Risk Platform) and subscription solutions — including threat intelligence, attack surface management, fraud protection, digital risk protection, business email protection, Managed XDR, and cloud security posture management — alongside services such as 24/7 incident response, digital forensics, penetration testing, SOC consulting, and training. Group-IB also runs research and community programs (e. g. , Cybercrime Fighters Club) and provides law-enforcement-focused investigations and resources.

📋 Description

• Identify and formalize scenarios to be covered by the transactional antifraud system, especially in the AML domain. • Conduct research on cutting-edge ML models and techniques for fraud and anomaly detection in transactional data. • Build ML models (classic, graph-based, neural networks) and integrate them into the Fraud Protection platform. • Develop production-ready source code (primarily in Python; Go experience is a plus). • Document and present research findings.

🎯 Requirements

• Have a solid foundation in transactional data analysis. • Understand neural networks (CNNs, RNNs, etc.), classical ML algorithms, and where to apply them—especially Graph ML (node embeddings, link prediction, GNNs). • Have hands-on experience with frameworks such as PyTorch or Keras/TensorFlow. • Are proficient in both IDE-based and terminal-based development. • Have experience designing and building ETL pipelines. • Have a research-oriented mindset and enjoy experimentation. • Strong documentation and presentation skills. • Experience with MLOps practices. • Experience writing production-ready asynchronous Python code.

🏖️ Benefits

• Work with real stakes. Group-IB investigates active cybercriminal groups, responds to breaches affecting critical infrastructure, and develops technologies used by law enforcement agencies including INTERPOL, Europol, and Afripol across 60+ countries. We've conducted 1,550+ cybercrime investigations alongside 600+ enterprise customers globally. When you join Group-IB, your work directly disrupts digital crime. • Grow your way. Choose your own path: deepen your craft as a technical expert, step into leadership, move across to another team, or relocate to one of our Digital Crime Resistance Centers across the Americas, Europe, the Middle East & Africa, Central Asia, and the Asia-Pacific. Your growth is our growth — Group-IB's expansion across 60+ active country operations means real career acceleration. • We fund professional certifications at company expense — whether you're pursuing CEH, CISSP, OSCP, or specialized certifications in forensics and penetration testing. You don't have to choose between doing the job and advancing your credentials. • Work alongside industry leaders. Our Unified Risk Platform — Threat Intelligence, Digital Risk Protection, Attack Surface Management, Managed XDR, and more — is recognized by Gartner, Forrester, KuppingerCole, and Datos Insights. Frost & Sullivan named us a 2025 Global Technology Innovation Leader. When you work here, you're building technologies that set the industry standard. • Real challenges, real expertise. You'll take on complex, real-world problems alongside adversary-centric researchers and incident response experts spread across six continents. We've built 21+ years of proprietary telemetry through 1,500+ joint investigations. No two threats look alike — and neither do the skills you'll develop. • A team that is genuinely international. Our people come from different countries, speak different languages, and bring different perspectives. What connects us is a shared mission: fighting cybercrime and making the world safer. We care about your wellbeing and happiness as much as your output.