Let the power of travel fuel the freedom to grow.
Full Stack AI Engineer
Location
Mexico
Posted
3 days ago
Salary
0
Seniority
Mid Level
No structured requirement data.
Job Description
Full Stack AI Engineer
arrivia
Role Description At arrivia, we specialize in making brands better through the power of travel, combining decades of experience with a constant drive for technology innovation. This specific role is a fully remote opportunity based within Mexico. This role sits at the intersection of machine learning, cybersecurity, and full-stack engineering. You won't just be monitoring dashboards; you’ll be architecting intelligent defenses that keep our members and data safe from evolving digital threats by building high-scale, real-time security systems. As a core member of our IT Operations team, reporting to the Security Ops Lead, you will: - Design & Architect: Implement and scale AI/ML models to proactively detect, prevent, and respond to security threats such as identity risk, fraud, malware, and insider anomalies. - System Reliability: Build and maintain robust data ingestion, feature engineering, and real-time streaming pipelines (e.g., utilizing SQL/NoSQL databases and messaging frameworks like Kafka) to process high volumes of security events. - Deploy Microservices: Integrate AI security models directly into production workflows by developing high-performance, low-latency APIs and microservices (using frameworks like FastAPI, Flask, or Django). - Adversarial Research: Analyze adversarial attacks, threat modeling, and secure model design to adapt our defenses under evolving threat scenarios. - Automated Response: Enhance automated incident response, accelerating remediation workflows to significantly reduce manual threat investigation cycles. - Collaborative Impact: Partner with DevSecOps and Platform teams to build MLOps pipelines and embed AI-driven protections directly into containerized environments (Docker/Kubernetes). Qualifications - Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field (Master's preferred). - 5+ years of software engineering experience, with a heavy focus on backend architecture, API design, and distributed systems. - 3+ years of experience in cybersecurity, fraud detection, trust & safety, or abuse prevention. - 2+ years of hands-on experience building and deploying machine learning models in a production environment. - High proficiency in English with strong collaboration and communication skills. - Must be based in Mexico and available to work remotely. Requirements - Skilled in Modern Tech: Solid foundation in Python, SQL, and ML frameworks like PyTorch, TensorFlow, or scikit-learn. - Experienced with Distributed Systems: Comfortable working with large-scale data systems, stream processing, and containerized deployments using AWS, Docker, and Kubernetes. - Security Focused: Strong background in cybersecurity, fraud detection, trust & safety, or threat intelligence, alongside a deep understanding of secure system design and OWASP principles. - API & Backend Specialist: Proven experience designing robust, scalable microservices capable of handling strict latency and reliability constraints. - Analytical Problem-Solver: Ability to effectively balance the trade-offs between rigorous security, high system performance, and a positive user experience. - Growth Mindset: Enjoy staying up-to-date with secure AI frameworks (such as ISO/IEC 42001 or OWASP) and exploring advanced methods like time-series anomaly detection and graph analysis. Benefits - Collaborative, inclusive environment where your work directly impacts how millions of people experience the world. - Opportunity to apply your AI and security expertise to a global mission from the comfort of your home office in Mexico.
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