Fullstack Developer AI/ML

7 days ago


Tallinn, Harjumaa, Estonia Paymentology Full time €60,000 - €80,000 per year


Tooling Development and Automation
  • 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
  • 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
  • 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
  • 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:

Knowledge, Skills & Abilities
  • Strong expertise in web technologies (HTML, CSS, JavaScript) and API development (RESTful, GraphQL).
  • Experience with server-side frameworks such as ), 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.

Years Of Experience
  • 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.



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