Advance your career at the forefront of innovation as a Data Technology Consultant and join our cutting-edge team in Geneva. This exciting role requires a technical virtuoso with expertise in Data-Driven technologies, Dataiku Data Science Studio platform and Snowflake. Your skills in data analysis tools and machine learning will be instrumental in pushing the boundaries of innovation. If you thrive on challenges, are passionate about data and excel in a cross-functional, international team, then our company is eager to welcome you aboard.

Responsibilities

Administer the Dataiku Data Science Studio platform, including user management, project configuration and access control
Design and maintain data architectures required for machine learning projects in collaboration with teams of data scientists and data engineers. Manage the secure provision of data repositories on the platform, ensuring their accessibility and compliance with quality and security standards
Manage the integration, deployment, monitoring and maintenance of machine learning models through Dataiku
Ensure the automation of data and ML workflows and integrate monitoring and alert systems to anticipate and resolve incidents
Implement best MLOps and DevOps practices, notably in terms of CI/CD, scaling and model performance
Develop and maintain up-to-date documentation of procedures and systems for internal reference and training of new users
Work with IT teams to ensure consistency between the Dataiku platform and existing IT infrastructure, including cloud and on-site environments
Encourage and support a collaborative work environment for data and idea sharing and improve data science skills within the organization

Requirements

Strong experience working as a Data Technology Consultant, Data Analyst
Proficiency in Dataiku Data Science Studio and Snowflake
Solid understanding of data analysis tools and ML best practices
Demonstrated ability in managing and designing data platforms
Experience with data architecture, machine learning models, MLOps and DevOps practices
Experience with CI/CD pipelines, scaling and optimizing model performance
Fluent English and French language skills are needed

Benefits

Competitive compensation depending on experience and skills
Knowledge-sharing across EPAM's global Tech Communities
Unlimited access to LinkedIn learning solutions
Relocation support as per EPAM relocation policies
EPAM Community with regular corporate and social events
Career growth, performance and compensation reviews
EPAM Employee Stock Purchase Plan (ESPP) (subject to certain eligibility requirements)

Additional

Please note that any offers will be subject to appropriate background checks
We do not accept CVs from recruiting or staffing agencies
For this position, we are able to consider applications from the following:
- Swiss nationals
- EU/EFTA nationals
- Third-country nationals based in Switzerland with an appropriate work permit
- Displaced people from Ukraine who are currently in Switzerland and hold, or have already applied for, S permits