AI Engineer
Role Overview
This AI Engineer role involves hands-on development and deployment of production-grade Machine Learning systems, including prototyping, building data pipelines, and implementing MLOps workflows. It is suitable for junior to mid-level professionals with 1-3 years of experience, working in a client-facing team to solve real-world business challenges across various industries. The hire will impact projects by translating business problems into ML solutions and ensuring scalability and reliability on cloud platforms.
Perks & Benefits
The role offers a hybrid working model with remote flexibility, 25+ days of vacation, supplementary health insurance, and a 50% covered MultiSport membership. Career growth is supported through certifications, structured learning, and an internal knowledge library, with opportunities to innovate and shape solutions in a collaborative, client-focused environment. While time zone expectations are not specified, typical remote tech roles may involve some overlap with client or team schedules.
Full Job Description
About Us
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.
Key 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.
Basic Qualifications
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?
At Syntio, you’ll work on exciting, high-impact projects across various industries and have lots of opportunities to grow - whether through certifications, structured learning, or our internal knowledge library. You’ll also have the freedom to innovate, try new approaches, and actively shape how we build our solutions.
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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