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AI Engineer Specialist

Added
1 day ago
Location
Type
Full time
Salary
Not Specified

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At EBANX, you’ll help expand access to payments and technology in some of the world’s most dynamic markets. We’re a unicorn-status fintech, AI-powered, and scaling fast across 29 countries and counting.

Our platform connects leading global companies to more than 1 billion consumers, enabling seamless cross-border payments where it matters most. We build with purpose, move with speed, and create solutions that are both innovative and inclusive.

If you’re looking to be part of a company that’s transforming the future of payments with clarity, ambition, and real-world impact — we’d love to meet you.

In the Data team, we turn information into intelligence. We model, organize, and analyze data to generate strategic insights that drive decision-making across EBANX. We're naturally curious and guided by evidence.

As an

AI Engineer Specialist your mission will be

to own the design and deployment of scalable AI systems in production.

Your day-to-day impact:
  • Own the end-to-end design and deployment of AI systems, ensuring scalability, reliability, and performance;
  • Develop and optimize AI models, focusing on robustness, explainability, and efficiency;
  • Build and maintain production-grade infrastructure for AI applications, including APIs, data pipelines, and services;
  • Implement and oversee continuous integration and continuous delivery (CI/CD) pipelines for AI model deployment and updates;
  • Collaborate closely with data scientists, software engineers, and stakeholders across teams to translate business requirements into actionable AI solutions;
  • Ensure AI systems comply with industry best practices regarding security, privacy, and ethical standards;
  • Troubleshoot production issues related to AI systems, performing rigorous testing and validation;
  • Mentor team members on best practices in AI engineering, model deployment, and system integration.
Must-haves to shine in this role:

  • Hands-on experience in Data Science, Machine Learning Engineering, or closely related roles;
  • Proven expertise in developing impactful products leveraging advanced AI services, such as OpenAI's GPT, Google's Gemini, and AWS Bedrock;
  • Strong programming skills in Python, with demonstrated experience in developing high-quality, maintainable code;
  • Proficiency with cloud platforms (AWS, GCP, Azure), including deploying AI services and managing cloud resources;
  • Experience with containerization tools (Docker) and orchestration platforms (Kubernetes);
  • Strong knowledge of CI/CD tools and processes (GitLab CI, GitHub Actions, Jenkins);
  • Solid understanding of data engineering concepts, ETL processes, and data pipeline architectures;
  • Experience with monitoring and logging solutions for AI systems (e.g., Prometheus, Grafana, DataDog);
  • Awareness of security standards and compliance requirements relevant to AI and data-driven systems.
Bonus points if you have: 

  • Prior experience in financial services, fintech, or related industries;
  • Bachelor’s or Master’s degree in Computer Science, Engineering, Artificial Intelligence, or a related field;

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