At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the worlds most innovative companies unleash their potential. From autonomous cars to life saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.
The Dataiku Platform Engineer will play a pivotal role by deploying and optimizing Dataiku environment, used both by expert and novice data scientists.
You will actively participate in defining and managing Dataiku platform, including migration, integration with key applications and automating pipelines, on top of managing and supervising a dedicated support team. Acting as the technical Lead of Dataiku, and drive the execution of critical activities in the platform:
Capgemini Engineering: Get The Future You Want
Your Responsibilities
* Defining and applying best practices consistently within the Dataiku platform.
* Detecting opportunities for automation, and develop them.
* Explaining Dataiku capabilities to non technical profiles while engaging in technical conversations with engineers and data scientists.
* Staying up to date on modern data platform and automation trends.
* Working individually on smaller deliveries, but also able to participate in larger deliveries as part of a team.
* Raising impediments and seeking support if needed.
* Actively suggesting improvement opportunities (both technical & process).
* Creating concise & meaningful documentation of policies, best practices, and architectures. and architecture.
Your Profile
At Capgemini Engineering, were looking for someone who:
* Brings at least 3 years of experience working as data platform technical expert of MLOps role.
* Supervised and unsupervised machine learning (classification/clustering, regression, pattern).
* Experience working on Dataiku, preferably as a power user or administrator, with strong experience in workflow optimization.
* Good understanding of automation techniques and integration with enterprise systems.
* Familiarity with monitoring techniques and key metrics for platform performance. Excellent programming skills (Python) and familiarity with common DevOps tools (Git, Terraform).
* Good understanding of AWS infrastructure and deployment practices.
* Language Skills: Fluent in English.
* Masters degree or PhD in applied Physics, Mathematics, Computer Sciences, or equivalent.
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