Machine Learning Engineer

About the role

Syntio, a Datatonic company, brings together data engineering experience with strong cloud and AI expertise to solve complex data problems. We design and build scalable data platforms, and help organizations make practical, effective use of their data. Our teams work on real-world challenges for clients across different industries, using modern cloud technologies and engineering best practices. Our work spans all major public cloud providers - AWS, Google Cloud Provider, and Azure - where we combine managed services with open-source technologies to design robust, scalable, and future-proof data platforms. Innovation drives everything we do. Our dedicated R&D department ensures that we stay ahead in the ever-evolving data space, continually pushing the boundaries of what's possible. Job Description We're looking for an AI Engineer who's passionate about turning ideas into real-world, production-grade Machine Learning systems. This role is hands-on and technical - you'll prototype, build, and deploy end-to-end Machine Learning solutions while applying best-in-class engineering, cloud, and MLOps practices. Whether you're just starting out or already experienced, you'll contribute to impactful projects, collaborate with clients, and grow your role over time. If you thrive at the intersection of AI, cloud, and real-world problem-solving, you'll fit right in.

Responsibilities

• Translate business challenges into ML opportunities - understand the "why" behind problems and propose solutions that matter.
• Experiment, train, and optimize models, including leveraging the latest in generative AI.
• Engineer for scale - ensure performance, reliability, and efficient use of compute resources.
• Build and maintain data pipelines & MLOps workflows, enabling fast and repeatable iteration cycles.
• Deploy ML solutions on AWS, GCP, or Azure, integrating seamlessly with production systems.
• Write clean, well-structured Python code following modern engineering and CI/CD best practices.

Requirements

• 1-3 years of experience in:
• AI or ML Engineering, or
• Software Engineering with a focus on AI/ML
• Strong Python skills for backend development
• Experience working with cloud platforms (Google Cloud, AWS, or Azure)
• Hands-on software engineering experience
• Solid understanding of SQL
• Familiarity with ML deployment & web service integration (e.g., FastAPI)
• Bonus Skills
• Experience in consulting or client-facing roles
• Strong communication and presentation abilities
• Background with GPUs or distributed computing
• Experience with IaC tools (Terraform, Pulumi)
• Machine Learning-related certifications
• Why Join Us?
• Benefits we offer include:
• 25+ days of vacation, depending on role and progression
• Supplementary and additional health insurance
• 50% covered MultiSport membership
• Hybrid working model for flexibility and balance

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