Senior Data Scientist – Cybersecurity

• Build, curate, clean, and maintain datasets for NLP and AI security use cases
• Generate and augment synthetic datasets using LLMs to cover edge cases and improve model robustness
• Train, fine-tune, and evaluate NLP and transformer-based models for real-time risk detection and classification
• Develop and improve custom classifiers and Named Entity Recognition (NER) models
• Design evaluation pipelines and benchmarks to measure model quality, accuracy, false positives, and performance
• Experiment with different modeling approaches and continuously improve models as new use cases and AI-related threats emerge
• Optimize models and inference workflows for production environments where speed and efficiency are critical
• Collaborate with engineering and AI teams to move models and experiments from research into reliable production solutions
• Analyze model performance and datasets to identify gaps, edge cases, and opportunities for improvement
• Contribute to practical AI/ML workflows, documentation, and best practices

• 4+ years of professional experience as a Data Scientist, Machine Learning Engineer, or in a closely related role
• Strong hands-on experience with NLP, transformer-based models, and modern language-model architectures
• Strong programming skills in Python
• Experience with machine learning and deep learning frameworks such as PyTorch, TensorFlow, or similar
• Experience with libraries and ecosystems such as Hugging Face and scikit-learn
• Hands-on experience training, fine-tuning, or adapting machine learning models for real-world applications
• Experience working with NER, tokenization, text classification, or other NLP techniques
• Strong data preparation and analysis skills using Pandas or similar tools
• Experience designing model evaluations, benchmarks, and experiments to assess model quality and reliability
• Understanding of model performance and inference optimization techniques
• Familiarity with AI security concepts such as prompt injection, sensitive-data/PII exposure, adversarial inputs, and data privacy
• Strong problem-solving skills and the ability to work independently on ambiguous ML problems

• 100% Remote Work
• Highly Competitive USD Pay
• Paid Time Off
• Work with Autonomy
• Work with Top American Companies
• Engagement activities
• Work-life balance
• Collaboration with a diverse, global network
• Work alongside seasoned senior professionals