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Machine Learning Engineer at Syntio | Zagreb, Croatia

SyntioZagreb, Croatia
On-site Full-time

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Experience Level

Experience

Qualifications

Key ResponsibilitiesConvert business challenges into machine learning opportunities - grasp the underlying reasons behind issues and propose meaningful solutions. Conduct experiments, train, and refine models, including utilizing the latest advancements in generative AI. Engineer for scalability - guarantee performance, reliability, and optimal use of computing resources. Design and uphold data pipelines and MLOps workflows, facilitating swift and repeatable iteration cycles. Implement machine learning solutions on AWS, GCP, or Azure, ensuring seamless integration with production systems. Produce clean, well-organized Python code that aligns with contemporary engineering and CI/CD best practices. Basic Qualifications1–3 years of experience in:AI or Machine Learning Engineering, orSoftware Engineering with a focus on AI/MLProficient in Python for backend development.

About the job

About Us

Syntio, a proud member of the Datatonic family, merges extensive data engineering expertise with advanced cloud and AI capabilities to tackle intricate data challenges. We specialize in designing and developing scalable data platforms that empower organizations to harness their data effectively and efficiently. Our teams engage with real-world problems across various sectors, utilizing cutting-edge cloud technologies and engineering best practices.

Our projects span all major public cloud platforms, including AWS, Google Cloud Platform, and Azure, where we integrate managed services with open-source tools to create robust, scalable, and future-proof data solutions.

Driven by innovation, our dedicated R&D department ensures we remain at the forefront of the rapidly evolving data landscape, continuously pushing the limits of what is achievable.

Job Description

We are searching for a dedicated Machine Learning Engineer who is excited about transforming concepts into practical, production-ready machine learning systems. This hands-on role requires a technical mindset as you will prototype, build, and deploy comprehensive machine learning solutions while adhering to best practices in engineering, cloud, and MLOps.

Whether you are an emerging talent or possess significant experience, you will play a vital role in impactful projects, collaborate closely with clients, and evolve your responsibilities over time. If you thrive at the intersection of AI, cloud, and real-world problem-solving, you'll feel right at home here.

About Syntio

Syntio, a subsidiary of Datatonic, excels in blending data engineering with cloud and AI expertise to address complex data issues, delivering scalable solutions across various industries.

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