Search the 6 jobs at Dataiku

As a Software Engineer at Dataiku, you will work on improving scalability, latency, and security of their platform. You will support new cloud services, databases capabilities, and deploy machine learning models at scale. The technical stack includes Java, JavaScript, and Python.

Dataiku is seeking a Software Engineer to enhance data exploration capabilities, focusing on building data visualizations and meaningful insights. The role involves collaborating with a team to implement new chart types, optimize chart engines, deliver dashboards, and facilitate sharing of insights. The tech stack includes Javascript, AngularJS, Angular, ECharts, D3.js, Java, and Spring.

Software Engineer - MLOps role at Dataiku focusing on developing MLOps features and capabilities, automating ML model retraining, tuning, monitoring, deployment, and collaboration among stakeholders. Tech stack includes Java, Python, Scala, JavaScript, and Angular.

As a Software Developer Engineer in Test (SDET) at Dataiku, you will play a crucial role in ensuring the delivery of high-quality products to customers. Responsibilities include coding advanced automated test suites, defining testing plans and strategies, collaborating with developers, and improving test infrastructure. Experience in software test engineering with automation, object-oriented languages, and collaboration with developers is required.

Seeking a Software Engineer Full Stack with a passion for AI and advanced programming to create user-centric, AI-driven applications at Dataiku. Proficiency in Python and Vue.js is required, along with curiosity about LLMs and cutting-edge agent technologies. Responsibilities include working closely with industry specialists, designing and developing solutions, supporting data scientists, and contributing to the team's roadmap.

Dataiku is seeking a talented full-stack software engineer to work on the Data analytics part of Dataiku and other core features of the platform. The position involves developing Dataiku's features and capabilities for self-service analytics teams, focusing on data integration, data preparation, data cataloging, Jupyter notebooks, and automation.