Senior Data Scientist – Cybersecurity

🔥 12 hours ago

🇲🇽 Mexico – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 25%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Truelogic Software

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2004

☁️ SaaS

🤝 B2B

🏢 Enterprise

SaaS • B2B • Enterprise

Truelogic Software is a nearshore software development company specializing in agile staff augmentation services. They focus on providing custom outsourced software development with a team of highly skilled engineers from Latin America. Truelogic Software partners with both startups and Fortune 500 companies, offering solutions that align with their clients' time zones and ensuring high-quality outcomes through collaboration and responsiveness. With a presence in over 25 countries, Truelogic emphasizes remote work for better quality of life, and their engineers are experienced in various industries, delivering a wide range of successful projects globally.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• 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, multicultural global network • Work alongside seasoned senior professionals