Are you looking for a meaningful challenge in the world of Machine Learning? Join our high-caliber team that bridges the gap between research and business clients. We are looking for an experienced ML Engineer with proven expertise in SQL and Python to work on cutting-edge ML infrastructure and model deployment.

Responsibilities

• Solve infrastructure challenges and provide technical support for model development and deployment.
• Work with advanced technologies in Linux, Docker, and OpenShift environments.
• Write complex SQL queries and develop Python-based solutions, including OOP programming.
• Utilize libraries such as Pandas, Streamlit, Django, and FastAPI.
• Manage CI/CD processes using Jenkins, Git/Bitbucket.
• Work with various databases, including Oracle, MongoDB, and SQL Server.
• Use tools like Dataiku (big advantage!), Splunk, and Confluence.

Requirements:

• Strong SQL experience – a must.
• Proficiency in Python and relevant libraries (Pandas, Streamlit, Django, FastAPI) – a must.
• Experience with Docker and OpenShift.
• Experience with Dataiku – a significant advantage.

Why join us?

• Real impact – be the bridge between research and AI-driven business solutions.
• Cutting-edge technologies – work in a Cloud environment.
• Dynamic & diverse work – collaborate with development teams, project managers, and business stakeholders.
• Hybrid work model – flexibility to work remotely and in-office.
• Professional growth – an opportunity to develop, learn, and contribute to ML infrastructure.

If you're passionate about ML Engineering and AI infrastructure, we’d love to hear from you!