Jobs at Datatonic

As a Machine Learning Engineer, you will develop ML models, optimize solutions, automate workflows, and design ML architecture while ensuring high-quality production software delivery.

Lead pre-sales activities at Datatonic, shaping data and AI solutions, architecting transformations, and advising clients across various industries. Build trust with C-suite, manage RFPs, and represent the company in strategic engagements.

Serve as primary customer and partner contact for Datatonic Academy training: scope needs, manage logistics and trainers, gather feedback, support billing, and help improve processes while nurturing long-term relationships and collaborating with consulting and Google Cloud teams.

As a Principal Data Architect, you will design and implement modern data solutions, ensuring data quality and governance while managing architectural direction for engineering teams and guiding clients on data strategy and integration using Google Cloud technologies.

Lead architecture and delivery of enterprise-scale data and AI projects on Google Cloud. Provide pre- and post-sales technical advice, design and migrate cloud solutions, mentor architects, collaborate with partners and sales, define best practices, and build next-generation ML products and scalable production-grade platforms.

Lead and implement end-to-end ML solutions: translate vague requirements into models, run ML experiments, apply GenAI, design ML architectures on Google Cloud, build production-grade code, handle MLOps, data engineering, optimization, deployment, and client-facing project leadership.

Lead DevOps pipeline design and implementation, advise clients on DevOps best practices, establish DevOps functions, and engage stakeholders to ensure seamless delivery across projects.

Drive strategic revenue and transform enterprise client relationships through long-term engagements, navigating challenges and delivering measurable business value.