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Machine Learning Engineer

Premium data engineering consultancy recognized as Europe's fastest-growing data engineering company by Financial Times.
Zagreb, Croatia
Machine Learning
Mid-Level Software Engineer
Hybrid
1+ year of experience
AI · Enterprise SaaS

Description For Machine Learning Engineer

Datatonic, through their group company Syntio, is seeking a Machine Learning Engineer for their Croatia office. Syntio stands as Europe's fastest-growing data engineering consultancy, recognized by the Financial Times for delivering cutting-edge cloud-based solutions globally. The role demands a skilled professional with 1-3 years of experience who can bridge the gap between machine learning development and production deployment.

The position combines hands-on technical work with leadership opportunities, requiring expertise in Python programming and machine learning fundamentals. The ideal candidate will be responsible for developing ML solutions, from requirement analysis to production deployment, while maintaining high engineering standards. They'll work on diverse projects, implementing GenAI solutions, optimizing ML architectures, and ensuring efficient data flow systems.

What makes this role particularly exciting is the opportunity to work at the forefront of AI innovation while contributing to real-world business solutions. The hybrid working model offers flexibility, and the company provides extensive professional development opportunities, including certification plans and access to their knowledge library. The role is perfect for someone who combines technical expertise with strong communication skills and wants to grow in a fast-paced, innovative environment.

The position offers competitive compensation, comprehensive benefits, and the chance to work with a team of AI enthusiasts and data experts. Syntio's culture encourages experimentation and innovation, making it an ideal place for professionals looking to make a significant impact in the data engineering and ML space.

Last updated 5 days ago

Responsibilities For Machine Learning Engineer

  • Translate requirements and develop models to solve real-world problems
  • Conduct ML experiments using programming languages with machine learning libraries
  • Leverage generative AI to develop innovative solutions
  • Optimize machine learning solutions for performance and scalability
  • Implement tailored machine learning code
  • Ensure efficient data flow between databases and backend systems
  • Automate ML workflows, focusing on testing and reproducibility
  • Create machine learning architectures using Google Cloud tools
  • Build and deploy production-grade software for ML solutions

Requirements For Machine Learning Engineer

Python
  • 1-3 years experience as a Machine Learning Engineer, preferably with consulting background
  • Proficiency in Python as a backend language
  • Experience with cloud platforms (Google Cloud, AWS, or Azure)
  • Strong knowledge of SQL
  • Experience with scaling computations using GPUs or distributed computing
  • Familiarity with exposing ML components through web services
  • Strong communication and presentation skills
  • Fluent in English (written and spoken)

Benefits For Machine Learning Engineer

  • Continuous learning opportunities and certification plans
  • Competitive salary package
  • Employee benefits
  • Access to Syntio's knowledge library
  • Development programs including The Power Business School
  • Sports and Social Club activities

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