Full - stack software engineer developing features for Hercules’ AI applications. Collaborating on software design, coding, and release management for innovative technologies.
About the role
- Software Engineer for AI projects with Datatonic, a Google Cloud partner. Engaging in a structured accelerator program for ML engineering development in Zagreb.
Responsibilities
- 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.
Job title
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