Lead the development, implementation, and validation of Machine Learning solutions, ensuring alignment with project objectives. Lead the design of AI solution architectures that meet complex business goals and drive innovation. Research, test and select the best tools and technologies as well as AI solutions to meet the business requirements. Lead and mentor cross-functional teams, encouraging collaboration and helping everyone grow their skills. Understand clients' needs and translate business problems into data science problems. Architect and oversee the implementation of data pipelines and workflows, setting standards for data quality and security. Coordinate with Data Engineering and Software Engineering teams to strategize and oversee the building of AI applications. Present findings and recommendations clearly and concisely to stakeholders. Prioritize, and control tasks within an Agile/Scrum framework, ensuring timely delivery.

What you'll do

Your main responsibilities: Lead the development, implementation, and validation of Machine Learning solutions, ensuring alignment with project objectives. Lead the design of AI solution architectures that meet complex business goals and drive innovation. Research, test and select the best tools and technologies as well as AI solutions to meet the business requirements. Lead and mentor cross-functional teams, encouraging collaboration and helping everyone grow their skills. Understand clients' needs and translate business problems into data science problems. Architect and oversee the implementation of data pipelines and workflows, setting standards for data quality and security. Coordinate with Data Engineering and Software Engineering teams to strategize and oversee the building of AI applications.. Present findings and recommendations clearly and concisely to stakeholders. Prioritize, and control tasks within an Agile/Scrum framework, ensuring timely delivery.

Who you are

— Lead Data Scientist / AI Engineer / Tech Lead with a strong background in building AI/ML solutions.

— Experience collaborating with cross-functional teams, translating business needs into data science problems.

— Proficient in designing AI architectures, data pipelines, and ensuring data quality and security.

— Excellent communication skills with the ability to present findings to stakeholders.

Requirements / Qualifications

— Proven experience in ML solution development, implementation, and validation.

— Strong knowledge of AI technologies, tools, and architectures.

— Experience leading teams and projects within Agile/Scrum environments.

— Ability to translate business problems into data science problems.

— Experience coordinating with Data Engineering and Software Engineering teams.

Benefits / Perks

Position offers opportunities to work on challenging projects across various industries, exposure to cutting-edge technologies, and career growth as part of a global technology group.

Tech stack

— Machine Learning / AI tools and frameworks

— Data pipelines and data quality/security standards

— Collaboration with Data Engineering and Software Engineering teams