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Automation Engineer at Paymentology

Paymentology is a global leader in issuer-processing, empowering banks and fintechs with cutting-edge technology, expertise, and a scalable platform to issue and process Mastercard, Visa, and UnionPay cards across 60+ countries.

Our innovative multi-cloud platform, combined with a vast global presence and real-time data capabilities, positions us as a frontrunner in the payments industry.

Your Role:

Tooling Development and Automation
You will design, build, and optimise internal tools to streamline operations and automate workflows.
  • Create and maintain internal tools, integrating AI/ML capabilities where relevant.
  • Identify and implement automation opportunities leveraging AI and ML technologies.
  • Integrate SaaS platforms like HubSpot and Zendesk with internal tools using APIs and web technologies.
  • Document tools, integrations, and automation processes comprehensively.
  • Resolve technical issues related to integrations, automation, and AI-powered solutions.
AI and Machine Learning Integration
Leverage AI/ML frameworks to enhance automation, refine processes, and boost operational efficiency.
  • Apply AI/ML technologies to optimise workflows and automation processes.
  • Develop and deploy AI/ML models to improve support tools and internal systems.
  • Stay updated on advancements in AI, ML, and automation to ensure effective implementation.
  • Integrate AI/ML models into existing systems to drive innovation and efficiency.
Cross-Functional Collaboration
Collaborate with internal teams to understand automation needs and deliver impactful solutions.
  • Work with Operations teams to identify inefficiencies and automation opportunities.
  • Partner with Product, Engineering, and Support teams to build AI-enhanced automation tools.
  • Ensure seamless communication between teams for smooth tool integration and process optimisation.
  • Provide technical guidance and support to teams using automation tools.
Continuous Improvement and Innovation
Refine and enhance automation solutions through continuous iteration and technological advancements.
  • Monitor and improve existing tools to align with AI and automation best practices.
  • Identify and implement enhancements to boost tool performance and user experience.
  • Adopt a proactive approach to problem-solving, optimising automation processes for efficiency.
  • Contribute to developing best practices for internal tooling and automation solutions.

What You Need to Succeed:
  • 3-5 years of experience in automation engineering, AI/ML integration, or internal tooling development.
  • Proven experience collaborating with Product, Engineering, and Support teams to drive automation initiatives.
  • Track record of optimising workflows, reducing manual processes, and improving operational efficiency.
  • Strong expertise in web technologies (HTML, CSS, JavaScript) and API development (RESTful, GraphQL).
  • Experience with server-side frameworks like Express.js (Node.js), Django (Python), or Spring Boot (Java).
  • Proficiency in scripting languages (e.g., Bash, Python) for automation tasks.
  • Familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch) and automation deployment tools.
  • Strong understanding of integrating AI/ML models into existing workflows.
  • Excellent problem-solving skills with a keen eye for detail.
  • Strong communication and collaboration skills to work effectively across teams.
  • Ability to work independently and manage multiple priorities efficiently.
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