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Software Engineer

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Datatonic

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Location:
Croatia , Zagreb

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

Shape the Future of AI & Data with Us. At Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on the Google Cloud Platform (GCP). Are you a Senior Data Engineer or Full-Stack Developer ready to pivot into AI? We are launching the 2026 MLE Accelerator Program—a high-impact initiative designed to bridge the gap between strong engineering fundamentals and specialised Machine Learning Engineering. We are looking for 12 key hires to join our Zagreb team, where you will undergo an intensive, 12-week cross-training journey led by our top technical leads.

Job Responsibility:

  • 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 as 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 with a solid grasp of basic Machine Learning concepts
  • Consultative mindset with proven experience communicating technical topics to diverse audiences
  • Curiosity and a strong desire to shift career focus entirely toward the ML/AI stack on GCP

Nice to have:

Basic DevOps experience (IaC and workflow automation)

What we offer:
  • 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)
  • Wellbeing: Supplementary health insurance and 50% covered MultiSport membership
  • Holiday: 25+ days of vacation
  • Impact: The chance to work on cutting-edge GenAI and ML projects for market-leading global brands

Additional Information:

Job Posted:
February 17, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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