AI Engineer Specialist

Summary

Join EBANX as an AI Engineer Specialist and own the design and deployment of scalable AI systems. You will develop and optimize AI models, build and maintain production infrastructure, and implement CI/CD pipelines. Collaboration with data scientists and stakeholders is key to translating business needs into AI solutions. Ensure compliance with industry best practices for security, privacy, and ethics. Troubleshoot production issues and mentor team members on AI engineering best practices. This role requires hands-on experience in data science and machine learning, expertise in AI services, strong programming skills in Python, and proficiency with cloud platforms and CI/CD tools.

Requirements

• 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

Responsibilities

• 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

Preferred Qualifications

• 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

Benefits

• A collaborative, innovative, and supportive work environment
• Opportunities for career advancement and significant influence on AI practices within the organization
• Spanish, English, and Portuguese classes
• Meal Allowance
• Transportation voucher (if needed)
• WAVES - Program of goals and results (variable compensation)
• EBANX Play - Wellness (Gympass, e-Sports, SESC )
• EBANX Education: financial support for undergraduate, graduate, and MBA programs so you can develop important skills for your career
• EBANX Skills: budget for workshops and courses
• EBANX Flexible: Birthday Day Off
• Semi-flexible hours (8 hours a day - Monday to Friday)
• EBANX Family: Daycare assistance, extended leave for caregivers and support program for children and pregnant women
• EBANX Health: Health and Dental Insurance, with subsidy for dependents and medicine subsidy for ebankers
• Life Insurance: Life Insurance 100% paid by EBANX
• Blue Club: Exclusive discount for ebankers in bakeries, restaurants, courses, electronics stores, and more!