Field Engineer - Dubai

Dataiku is The Universal AI Platform giving organizations control over their AI talent processes and technologies to unleash the creation of analytics models and agents. Providing no- low- and full-code capabilities Dataiku meets teams where they are today allowing them to begin building with AI using their existing skills and knowledge.Why Engineering at DataikuDataikus SaaS cloud or on-premise deployed platform connects many Data Science technologies. Our technology stack reflects our commitment to quality and innovation. We integrate the best of data and AI tech selecting tools that truly enhance our product. From the latest LLMs to our dedication to open source communities youll work with a dynamic range of technologies and contribute to the collective knowledge of global tech innovators. You can find out even more about working in Engineering at Dataiku by taking a look here.What to know about the Field Engineering teamAs a Field Engineer youll work with customers at every stage of their relationship with Dataiku - from the initial evaluations to enterprise-wide this role you will help customers to design build validate and run their Data Science and AI Platforms.How youll make an impactThis role requires strong technical abilities adaptability inventiveness and strong communication skills. Sometimes you will work with clients on traditional big data technologies such as SQL data warehouses while at other times you will be helping them to discover and implement the most cutting edge tools; Spark on Kubernetes cloud-based elastic compute engines and GPUs. If you are interested in staying at the bleeding edge of big data and AI while maintaining a strong working knowledge of existing enterprise systems this will be a great fit for you.Some expected outcomes for this role:Understand customer requirements in terms of scalability availability and security and provide architecture recommendationsDeploy Dataiku in a large variety of technical environments (SaaS Kubernetes Spark Cloud or on-prem)Automate operation installation and monitoring of the Data Science ecosystem components in our infrastructure stackCollaborate with Revenue and Customer teams to deliver a consistent experience to our customersDrive technical success by being a trusted advisor to our customers and our internal account teamsWhat you need to be successful:Professional experience with at least one cloud based services (AWS GCP or Azure)Hands-on experience with the Kubernetes ecosystem for setup administration troubleshooting and tuningFamiliarity with Ansible or other application deployment tools (Terraform CloudFormation etc)Experience with cloud based Data Warehouses and Data Lakes (Snowflake Databricks)Some experience with PythonGrit when faced with technical issuesComfort and confidence in client-facing interactionsAbility to work both pre and post saleWhat will make you stand out:Some knowledge in Data Science and/or machine learningLinux system administration experienceHands-on experience with Spark ecosystem for setup administration troubleshooting and tuningProfessional experience or Familiarity with Hadoop environment (Cloudera) is a plusExperience with authentication and authorization systems like(A)AD IAM and LDAPWhat does the hiring process look like#LI-Hybrid #LI-AN1Initial call with a member of our Technical Recruiting teamVideo call with the Field Engineer Hiring ManagerTechnical Assessment to show your skills (Home Test)Debrief of your Tech Assessment with Field Engineer Team membersFinal Interview with the VP Field EngineeringWhat are you waiting for!At Dataiku youll be part of a journey to shape the ever-evolving world of AI. Were not just building a product; were crafting the future of AI. If youre ready to make a significant impact in a company that values innovation collaboration and your personal growth we cant wait to welcome you to Dataiku! And if youd like to learn even more about working here you can visit our Dataiku LinkedIn page.Our practices are rooted in the idea that everyone should be treated with dignity decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore we are proud to be an equal opportunity employment practices are based on business needs without regard to race ethnicity gender identity or expression sexual orientation religion age neurodiversity disability status citizenship veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring compensation benefits performance promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation please contact us at: Protect yourself from fraudulent recruitment activityDataiku will never ask you for payment of any type du