Data Technology Consultant
vor 2 Monaten
Description
ABOUT THE ROLE
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-
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