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As a Software Engineer for Data Exploration, you'll enhance data exploration capabilities by collaborating with product teams to develop and optimize data visualizations and dashboards, improving user insights and experiences with data. Your role involves implementing new chart types and facilitating user insights sharing.

As a Software Engineer focused on MLOps at Dataiku, you will develop features enhancing MLOps capabilities for automating model processes, improving user interfaces, and facilitating collaboration on ML projects. You'll work with APIs and cross-product features to enhance the product for customer usability.

As a Senior Sales Engineer at Dataiku, you will work with the Sales Engineering team to qualify deals, conduct discovery meetings, demonstrate the business value of Dataiku, design and create additional demonstrations, and assist in sales pipeline building activities. Strong natural curiosity, technical pre-sales experience, and familiarity with data science markets are key to success in this role.

The Sales Engineer at Dataiku will collaborate with various teams to qualify deals, conduct customer discovery meetings, articulate usage scenarios, demonstrate Dataiku’s business value, create Proofs-of-Concept, and provide technical guidance to customers. They will also assist in sales pipeline activities and engage with the customer teams.

As a Strategic Account Executive at Dataiku, you will manage the sales cycle and own a territory, collaborating with marketing and product teams. The role focuses on selling innovative technologies related to AI and analytics to enterprise accounts, emphasizing a customer-centric approach and consultative selling.

Software Engineer position at Dataiku focusing on developing MLOps features and capabilities. Responsibilities include automating retraining, tuning, monitoring, and deployment of ML models, collaborating with stakeholders, and enhancing user interfaces. Tech stack includes Java, Python, Scala, JavaScript, and Angular.

Dataiku is seeking a talented full-stack software engineer to work on data analytics and core features of the platform. The role involves improving scalability and latency, supporting cloud services and databases, enforcing security practices, and deploying machine learning models at scale.