Machine Learning Engineer

About this role

Syntio (a Datatonic company) seeks an AI Engineer to design, prototype, and deploy production-grade machine learning solutions across AWS, GCP, and Azure. You'll work on real-world client challenges, combining model development with cloud engineering and MLOps best practices in a collaborative, innovative environment.

What you'll do

• Translate business problems into machine learning opportunities and propose data-driven solutions
• Experiment, train, and optimize ML models including generative AI applications
• Build and maintain data pipelines and MLOps workflows for fast iteration cycles
• Deploy ML solutions to production on major cloud platforms with seamless system integration
• Engineer scalable systems ensuring performance, reliability, and efficient resource utilization
• Write clean, production-ready Python code following CI/CD and modern engineering best practices

What they're looking for

• Python (backend development)
• Machine learning and AI engineering
• Cloud platforms (AWS, GCP, or Azure)
• SQL
• ML deployment and web service integration (e.g., FastAPI)
• Data pipelines and MLOps
• Software engineering practices and CI/CD
• Distributed computing or GPU experience (bonus)

Benefits

• 25+ days vacation based on role and progression
• Supplementary and additional health insurance
• 50% covered MultiSport membership
• Hybrid working model
• Learning opportunities through certifications and internal knowledge resources
• Freedom to innovate and shape solution development approaches