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PAYMENTOLOGY: AUTOMATION ENGINEER
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Headquarters: London
Paymentology is the first truly global issuer-processor, giving banks and fintechs the technology, team and experience to rapidly issue and process Mastercard, Visa and UnionPay cards across more than 60 countries, at scale.
Our advanced, multi-cloud platform, offering both shared and dedicated processing instances, vast global presence and richer, real-time data, set us apart as the leader in payments.
What You Get To Do
Tooling Development and Automation
- Design, implement, and optimise internal tools to enhance operational efficiency and automate workflows.
- Develop and maintain internal tooling solutions, incorporating AI/ML capabilities where applicable.
- Identify and implement automation opportunities using AI and ML technologies.
- Integrate SaaS platforms (e.g., HubSpot, Zendesk) with internal company tools via APIs and web technologies.
- Develop and maintain documentation for tools, integrations, and automation processes.
- Troubleshoot and resolve technical issues related to integrations, automation, and AI-powered solutions.
AI and Machine Learning Integration
- Utilise AI/ML frameworks to enhance automation, improve processes, and increase operational effectiveness.
- Apply AI/ML technologies to optimise automation processes and workflows.
- Develop and deploy AI/ML models to enhance support tools and internal systems.
- Stay up to date with advancements in AI, ML, and automation technologies, ensuring their effective application.
- Integrate AI/ML models into existing systems and workflows to drive innovation and efficiency.
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Cross-Functional Collaboration
- Work closely with internal teams to understand automation requirements and deliver effective solutions.
- Collaborate with Operations teams to identify inefficiencies and opportunities for automation.
- Work alongside Product, Engineering, and Support teams to develop AI-enhanced automation tools.
- Ensure smooth communication between teams for seamless tool integration and process optimisation.
- Provide technical guidance and support to internal teams using automation tools.
Continuous Improvement and Innovation
- Enhance and refine automation solutions through continuous iteration and technological advancements.
- Monitor and improve existing tools, ensuring they align with best practices in AI and automation.
- Identify and implement enhancements to improve tool performance and user experience.
- Adopt a proactive approach to problem-solving, optimising automation processes for efficiency.
- Contribute to the development of best practices for internal tooling and automation solutions.
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What It Takes To Succeed
- 3-5 years of experience in automation engineering, AI/ML integration, or internal tooling development.
- Experience working cross-functionally with Product, Engineering, and Support teams to drive automation initiatives.
- Proven track record in 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 such as 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 AI/ML model integration into existing workflows.
- Excellent problem-solving skills with high attention to detail.
- Strong communication and collaboration skills to work effectively with cross-functional teams.
- Ability to work independently and manage multiple priorities efficiently.
To apply: https://weworkremotely.com/remote-jobs/paymentology-automation-engineer
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