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For Companies At a Glance
- Tasks: Design and optimize tools to automate workflows and enhance operational efficiency.
- Company: Join Paymentology, a global leader in payment processing for banks and fintechs.
- Benefits: Enjoy a dynamic work environment with opportunities for innovation and collaboration.
- Why this job: Be at the forefront of AI/ML integration in automation, driving real impact in payments.
- Qualifications: 3-5 years in automation engineering or AI/ML integration; strong problem-solving skills required.
- Other info: Work cross-functionally with diverse teams to create cutting-edge automation solutions.
The predicted salary is between 36000 - 60000 £ per year.
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.
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.
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.
- 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.
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Paymentology: Automation Engineer employer: Morfyus
Contact Detail:
Morfyus Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Paymentology: Automation Engineer
✨Tip Number 1
Familiarize yourself with the specific AI/ML frameworks mentioned in the job description, like TensorFlow and PyTorch. Having hands-on experience with these tools will not only boost your confidence but also demonstrate your commitment to integrating advanced technologies into automation.
✨Tip Number 2
Showcase your experience with server-side frameworks such as Express.js, Django, or Spring Boot. Be ready to discuss specific projects where you optimized workflows or reduced manual processes, as this aligns perfectly with what Paymentology is looking for.
✨Tip Number 3
Prepare to discuss your cross-functional collaboration experiences. Think of examples where you worked closely with Product, Engineering, or Support teams to drive automation initiatives, as this will highlight your ability to work effectively in a team-oriented environment.
✨Tip Number 4
Stay updated on the latest trends in automation and AI technologies. Being knowledgeable about recent advancements will not only help you in interviews but also show that you're proactive about continuous improvement and innovation, which is key for this role.
We think you need these skills to ace Paymentology: Automation Engineer
Some tips for your application 🫡
Understand the Role: Take the time to thoroughly read the job description for the Automation Engineer position at Paymentology. Make sure you understand the key responsibilities and required skills, especially in AI/ML integration and automation.
Tailor Your CV: Customize your CV to highlight relevant experience in automation engineering, AI/ML integration, and internal tooling development. Use specific examples that demonstrate your ability to optimize workflows and improve operational efficiency.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for automation and AI technologies. Mention how your background aligns with Paymentology's mission and how you can contribute to their innovative solutions.
Showcase Technical Skills: In your application, emphasize your proficiency in server-side frameworks, scripting languages, and AI/ML frameworks. Provide examples of projects where you've successfully integrated these technologies to solve problems or enhance processes.
How to prepare for a job interview at Morfyus
✨Showcase Your Automation Experience
Be prepared to discuss your previous projects related to automation engineering. Highlight specific tools and technologies you've used, especially in AI/ML integration, and how they improved operational efficiency.
✨Demonstrate Cross-Functional Collaboration
Share examples of how you've worked with different teams, such as Product, Engineering, and Support. Emphasize your ability to communicate effectively and understand diverse requirements for automation solutions.
✨Stay Updated on AI/ML Trends
Research the latest advancements in AI and machine learning technologies. Be ready to discuss how you can apply these trends to enhance automation processes and workflows at Paymentology.
✨Prepare for Technical Questions
Expect questions about server-side frameworks and scripting languages. Brush up on your knowledge of Express.js, Django, or Spring Boot, and be ready to demonstrate your proficiency in Bash or Python for automation tasks.
