Machine Learning Engineer (Automation) at Paymentology
Other
Europe Only
Full-Time
Javascript
Django
GraphQL
Automation Scripting
Html/css
Restful Services/apis
Chatgpt Ai Integration
Paymentology is a leading global issuer-processor, empowering banks and fintechs with cutting-edge technology to issue and process Mastercard, Visa, and UnionPay cards seamlessly across 60+ countries. Our scalable, multi-cloud platform delivers real-time data and unmatched processing capabilities, making us a frontrunner in the payments industry.
Your Role:
Building & Automating Internal Tools
Building & Automating Internal Tools
Create and refine tools that streamline operations and automate workflows.
- Develop AI/ML-powered internal solutions to enhance productivity.
- Automate processes using AI and machine learning where applicable.
- Connect SaaS platforms (HubSpot, Zendesk) with internal systems via APIs.
- Document tool functionalities, integrations, and automation procedures.
- Resolve technical issues related to automation and AI-driven tools.
AI & Machine Learning Implementation
Leverage AI/ML to optimize workflows and drive innovation.
- Apply AI/ML to enhance automation and operational efficiency.
- Build and deploy AI models to improve internal tools.
- Stay updated on AI/ML advancements and integrate them effectively.
- Embed AI/ML models into workflows for smarter automation.
Team Collaboration
Partner with teams to identify automation needs and deliver solutions.
- Work with Operations to pinpoint inefficiencies and automate tasks.
- Collaborate with Product, Engineering, and Support to develop AI-enhanced tools.
- Ensure smooth integration and communication across teams.
- Provide technical guidance on automation tools.
Innovation & Continuous Improvement
Refine automation solutions through iterative enhancements.
- Optimize existing tools with AI and automation best practices.
- Enhance performance and usability of automation tools.
- Proactively solve problems to maximize efficiency.
- Help establish best practices for internal tooling.
What You’ll Need:
- 3-5 years in automation engineering, AI/ML integration, or tool development.
- Experience collaborating with Product, Engineering, and Support teams.
- Proven ability to optimize workflows and reduce manual tasks.
- Expertise in web technologies (HTML, CSS, JavaScript) and APIs (REST, GraphQL).
- Experience with server frameworks like Express.js, Django, or Spring Boot.
- Proficiency in scripting (Bash, Python) for automation.
- Familiarity with AI/ML frameworks (TensorFlow, PyTorch) and automation tools.
- Strong problem-solving skills and attention to detail.
- Excellent communication and teamwork abilities.
- Self-driven with strong multitasking skills.