Senior Data Scientist – Cybersecurity

This is a fully remote position, open to applicants in Colombia.

📋 Description

• Construct, organize, refine, and uphold datasets for NLP and AI security applications.

• Create and enhance synthetic datasets utilizing LLMs to address edge cases and bolster model resilience.

• Train, fine-tune, and assess NLP and transformer-based models for real-time risk identification and categorization.

• Develop and enhance custom classifiers and Named Entity Recognition (NER) models.

• Design evaluation frameworks and benchmarks to assess model quality, accuracy, false positives, and performance.

• Test various modeling strategies and continuously enhance models as new use cases and AI-related threats arise.

• Optimize models and inference processes for production settings where speed and efficiency are paramount.

• Collaborate with engineering and AI teams to transition models and experiments from research to dependable production solutions.

• Analyze model performance and datasets to discover gaps, edge cases, and areas for enhancement.

• Contribute to effective AI/ML workflows, documentation, and best practices.

⛳️ Requirements

• Over 4 years of professional experience as a Data Scientist, Machine Learning Engineer, or in a closely related field.

• Extensive hands-on experience with NLP, transformer-based models, and contemporary language-model architectures.

• Proficient programming skills in Python.

• Experience with machine learning and deep learning frameworks such as PyTorch, TensorFlow, or similar.

• Familiarity with libraries and ecosystems like Hugging Face and scikit-learn.

• Practical experience in training, fine-tuning, or modifying machine learning models for real-world usage.

• Experience in working with NER, tokenization, text classification, or other NLP techniques.

• Strong data preparation and analysis capabilities using Pandas or similar tools.

• Experience in designing model evaluations, benchmarks, and experiments to evaluate model quality and dependability.

• Understanding of model performance and inference optimization strategies.

• Knowledge of AI security concepts like prompt injection, sensitive-data/PII exposure, adversarial inputs, and data privacy.

• Excellent problem-solving abilities and the capability to work independently on ambiguous ML challenges.

• Must reside in Latin America, as indicated by the required application question regarding the candidate's current location in Latin America.

🏝️ Benefits

• 100% Remote Work

• Highly Competitive USD Pay

• Paid Time Off

• Work with Autonomy

• Collaborate with Top American Companies

• Engagement activities

• Work-life balance support

• Collaborate with a diverse, global network

• Work alongside senior, seasoned professionals