AI Innovations Architect

il y a 6 jours

Paris, Île-de-France Dataiku Temps plein

About Dataiku

Dataiku is a pioneering company that has been leading the AI revolution since its inception in Paris in 2013. We're not just adapting to the changing landscape, but we're driving it forward with our innovative platform that makes data actionable and accessible. With over 1,000 teammates across 25 countries, backed by renowned investors, we're the architects of Everyday AI, empowering data experts and domain specialists to integrate AI into their daily operations.

Why Engineering at Dataiku?

Our SaaS, cloud, or on-premise deployed platform seamlessly integrates various Data Science technologies. Our technology stack reflects our commitment to quality and innovation, combining the best data and AI tools to enhance our product. From the latest Large Language Models (LLMs) to our dedication to open-source communities, you'll work with a diverse range of technologies and contribute to the collective knowledge of global innovators.

Field Engineer Role

In this role, you'll collaborate with customers throughout their journey with Dataiku - from initial evaluations to enterprise-wide deployments. You will help customers design, build, validate, and run their Data Science and AI platforms.

Making an Impact

This position requires strong technical abilities, adaptability, inventiveness, and effective communication skills. Sometimes, you'll work with clients on traditional big data technologies like SQL data warehouses, while other times, you'll be helping them discover and implement cutting-edge tools such as Spark on Kubernetes, cloud-based elastic compute engines, and GPUs.

Expected Outcomes

  • Determine customer requirements for scalability, availability, and security, providing architecture recommendations.
  • Deploy Dataiku in a wide variety of technical environments (SaaS, Kubernetes, Spark, Cloud, or on-prem).
  • Automate operation, installation, and monitoring of Data Science ecosystem components in our infrastructure stack.
  • Collaborate with Revenue and Customer teams to deliver a consistent experience to our customers.
  • Serve as a trusted advisor to our customers and internal account teams, driving technical success.

Requirements

  • Professional experience with at least one cloud-based service (AWS, GCP, or Azure).
  • Hands-on experience with the Kubernetes ecosystem for setup, administration, troubleshooting, and tuning.
  • Familiarity with Ansible or other application deployment tools (Terraform, CloudFormation, etc).
  • Experience with cloud-based Data Warehouses and Data Lakes (Snowflake, Databricks).
  • Some experience with Python.
  • The ability to handle technical issues with grit.
  • Comfort and confidence in client-facing interactions.
  • Ability to work both pre- and post-sale.

What Sets You Apart

  • Knowledge in Data Science and/or machine learning.
  • Linux system administration experience.
  • Hands-on experience with Spark ecosystem for setup, administration, troubleshooting, and tuning.
  • Experience with authentication and authorization systems like AD, IAM, and LDAP.

Hiring Process

Initial call with a member of our Technical Recruiting team.

Video call with the Field Engineer Hiring Manager.

Technical Assessment to demonstrate your skills (Home Test).

Debrief of your Tech Assessment with Field Engineer Team members.

Final Interview with the VP Field Engineering.

Your Future

You'll be part of a journey to shape the ever-evolving world of AI. We're crafting the future of AI, not just building a product. If you're ready to make a significant impact in a company that values innovation, collaboration, and personal growth, join us at Dataiku.

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