Senior Data Scientist – Cybersecurity

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

📋 Description

• Build, curate, clean, and sustain datasets tailored for NLP and AI security applications.

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

• Train, fine-tune, and assess NLP and transformer-based models aimed at real-time risk detection and classification.

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

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

• Experiment with various modeling techniques and continually enhance models as new AI-related threats arise.

• Optimize models and inference workflows for deployment in production environments.

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

• Analyze model performance and datasets to pinpoint gaps, edge cases, and areas for improvement.

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

⛳️ Requirements

• A minimum of 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 comparable alternatives.

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

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

• Knowledge of NER, tokenization, text classification, or other NLP techniques.

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

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

• Understanding of model performance and inference optimization methodologies.

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

• Excellent problem-solving abilities and the capacity to work independently on complex ML challenges.

• Current residency in Latin America is mandatory for the application process.

🏝️ Benefits

• 100% Remote Work

• Highly Competitive USD Pay

• Paid Time Off

• Work with Autonomy

• Collaborate with Top American Companies

• Engagement activities

• Work-life balance

• Collaborate within a diverse, multicultural global network

• Work alongside experienced, seasoned professionals