Datatonic

Software Engineer – AI Accelerator Program

Datatonic

full-time

Posted on:

Location Type: Hybrid

Location: Zagreb • Croatia

Visit company website

Explore more

✨ AI Apply
Apply

Tech Stack

CloudGoogle Cloud Platform

About the role

  • Architect ML Solutions: Design and implement sophisticated ML architectures on Google Cloud.
  • Engineer for Production: Build and deploy production-grade software for AI-driven solutions, ensuring high standards of code quality.
  • Automate Workflows: Implement AIOps best practices, including logging, monitoring and alerting, and automated testing.
  • Consult & Collaborate: Work closely with clients to translate business requirements into impactful and scalable solutions.

Requirements

  • Strong Engineering Background: You are currently a Senior Data Engineer (expert in software engineering, backend development) or a Senior Full-Stack/Web Developer (proficient in backend/frontend architectures and databases).
  • ML Foundations: You already have a solid grasp of basic Machine Learning concepts.
  • Consultative Mindset: You enjoy client-facing roles and have proven experience communicating technical topics to diverse audiences.
  • Curiosity: A strong desire to shift your career focus entirely toward the ML/AI stack on GCP.
  • Nice to have: Basic DevOps experience (IaC and workflow automation) are a plus but not essential.
Benefits
  • Learning & Growth: Access to the MLE Accelerator Program, generous conference budgets, and continuous learning platforms (Coursera, LinkedIn Learning).
  • Flexibility: A hybrid working model (2-3 days in the office) to balance focus and collaboration.
  • Wellbeing: Supplementary health insurance and 50% covered MultiSport membership.
  • Holiday: 25+ days of vacation to keep you refreshed.
  • Impact: The chance to work on cutting-edge GenAI and ML projects for market-leading global brands.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
Machine LearningSoftware EngineeringBackend DevelopmentFrontend DevelopmentDatabasesAIOpsAutomated TestingInfrastructure as Code (IaC)Workflow AutomationProduction-grade Software
Soft Skills
Consultative MindsetClient-facing ExperienceCommunication SkillsCuriosity