AI Solution Architect
Hybrid
Full Time
#Data Science
#Artificial Intelligence
#Machine Learning
#Python
#SQL
#Spark
#Cloud
#K8S
#Data Engineering
#JavaScript
#MLOps
Dataiku serves as the Universal AI Platform, providing organizations with the necessary control over their AI talent, processes, and technologies to foster the creation of advanced analytics, models, and agents. By offering a range of no-code, low-code, and full-code capabilities, we meet teams exactly where they are, empowering them to build with AI using their existing knowledge. As an AI Solution Architect based in France, you will join our dedicated Data Science team to help our customers accelerate their maturity in machine learning and data science. You will primarily support clients within the financial services and insurance sectors, guiding them from initial platform discovery through to the design and deployment of complex data applications.
Key outcomes
- Facilitate user adoption of the Dataiku platform through training sessions, demonstrations, office hours, and ongoing consultative guidance.
- Investigate and analyze a diverse array of data and machine learning applications across various industry use cases.
- Provide strategic insights to account teams to ensure the continued success of our customers.
- Collaborate directly with clients to scope and develop production-level data science projects.
- Mentor and educate customer team members to support their professional growth and technical development.
Requirements
- Fluency in both English and French.
- Over 5 years of professional experience in coding with languages such as Python, R, and SQL.
- Over 5 years of hands-on experience in building and deploying machine learning models.
- Solid understanding of platform mechanics and data systems, including Cloud architectures, K8S, and Spark.
- Strong communication skills with the ability to explain complex technical concepts to both technical and non-technical stakeholders.
- A naturally curious mindset with a strong desire to learn new technologies and techniques.
- An empathetic approach to sharing knowledge with colleagues, customers, and the public.
Preferred qualifications
- Previous experience in a customer-facing or consulting role within data science.
- Background in the insurance, banking, or manufacturing industries.
- Proficiency in MLOps, Data Engineering, SAS, or Spark.
- Experience building APIs or developing web applications using tools like JavaScript, RShiny, or Dash.
- Prior use of enterprise-grade data science platforms.
- A demonstrated passion for public speaking or teaching.
Compensation
We offer a hybrid work environment designed to support your professional flexibility and balance.
How to apply
If you are ready to help shape the future of AI and make a meaningful impact within a collaborative, innovative team, we invite you to submit your application to join us at Dataiku.
