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Description:
- Join Group-IB as a Machine Learning Engineer to enhance fraud detection algorithms and analyze banking transactions.
- Focus on graph-based transactional analysis and contribute to AI-driven components.
Requirements:
- Solid foundation in transactional data analysis and understanding of neural networks and classical ML algorithms.
- Hands-on experience with ML frameworks like PyTorch or Keras/TensorFlow, and proficiency in Python (3.8+).
- Experience designing ETL pipelines and a research-oriented mindset.
Benefits:
- Work on impactful projects that disrupt digital crime and protect critical infrastructure.
- Opportunities for career growth, professional certifications funded by the company, and collaboration with industry leaders.
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