Dataiku

6 Jobs

1,512 Employees

About the Company

Dataiku is The Universal AI Platform(tm), giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Aggressively agnostic, it integrates with all clouds, data platforms, AI services, and legacy systems to ensure full technology optionality -- empowering customers to future-proof their AI initiatives.

Providing no-, low-, and full-code capabilities, Dataiku meets teams where they are today, allowing them to build with AI using their existing skills and knowledge. Designed for the most demanding enterprise environments, Dataiku builds governance into every part of the platform, ensuring regulatory compliance and complete business alignment.

More than 700 companies worldwide use Dataiku, including leaders across industries including life sciences, logistics, retail, manufacturing, energy, financial services, software, and technology. With a strong focus on the Forbes Global 2000, Dataiku also supports non-profits and academic institutions through its AI-for-Good initiatives.

Listed Jobs

Company Name: Dataiku
Job Title: Data Scientist Intern
Job Description: Job Title: Data Scientist Intern Role Summary: Assist in developing a real‑world conversion of an LLM‑based agentic system to a Small Language Model (SLM) using the Dataiku platform. Drive research, experimentation, and demonstration of industrial use cases that showcase cost‑efficient, secure AI solutions for clients. Expactations: * Build expertise with Dataiku’s Agent and LLM mesh infrastructure. * Conduct state‑of‑the‑art research on LLM‑to‑SLM conversion techniques. * Design, implement, and evaluate experiments on selected industrial use cases. * Collaborate with data science and solutions teams to identify challenges and refine the approach. * Deliver a functional prototype or demo that can be shared with customers to illustrate the benefits. Key Responsibilities: 1. Familiarize with Dataiku platform, Agent and LLM mesh tools. 2. Research advanced methods (fine‑tuning, prompt optimization) for converting LLM agents to SLM agents. 3. Develop metrics and evaluation pipelines to assess performance, efficiency, and cost of SLM deployments. 4. Work with cross‑functional teams to align technical solutions with industry requirements. 5. Produce a demonstrable example (prototype or case study) illustrating the conversion process. 6. Document findings and best practices for internal and external stakeholders. Required Skills: * Strong programming proficiency in Python. * Understanding of large language models, prompting, fine‑tuning, and model compression techniques. * Experience with data science workflows, model evaluation, and experimentation. * Ability to translate research into workable engineering solutions. * Excellent written and verbal communication for reporting and collaboration. Required Education & Certifications: * Currently enrolled in or recently completed a bachelor’s, master’s, or Ph.D. program in Computer Science, Data Science, Machine Learning, or a related field. * No specific certifications required, though knowledge of AI/ML frameworks (PyTorch, TensorFlow) is advantageous.

Company Name: Dataiku
Job Title: Site Reliability Engineer Intern
Job Description: **Job title**: Site Reliability Engineer Intern **Role Summary**: Assist the Site Reliability Engineering (SRE) team in enhancing the reliability, scalability, and automation of the Dataiku Cloud SaaS platform. Work across the modern SRE stack—CI/CD pipelines, infrastructure as code, monitoring, and security—to optimize deployment workflows and infrastructure maintenance. **Expectations**: - Integrate with SRE and development teams to deliver actionable improvements. - Demonstrate competency in cloud orchestration, containerization, and automation tools. - Produce measurable outcomes such as improved pipeline performance, automated deployments, and operational dashboards. **Key Responsibilities**: 1. Improve and optimize CI/CD pipelines using GitHub Actions and ArgoCD. 2. Build and test container images inside Kubernetes clusters. 3. Automate infrastructure provisioning and management with Terraform. 4. Define core reliability metrics and develop monitoring dashboards in Grafana. 5. Collaborate on scalability and availability initiatives for the platform. 6. Maintain and evolve security best practices across the infrastructure stack. **Required Skills**: - Proficiency with Linux, containerization (Docker), and Kubernetes. - Experience with CI/CD tooling (GitHub Actions, ArgoCD). - Knowledge of infrastructure-as-code (Terraform). - Familiarity with cloud platforms (AWS, Azure) and monitoring (Grafana). - Strong scripting (Python, Bash) and problem‑solving abilities. - Effective communication and teamwork in a fast‑moving environment. **Required Education & Certifications**: - Current enrollment or recent graduation in Computer Science, Engineering, or a related field. - Optional: AWS/Azure Cloud Practitioner, Kubernetes Administrator, or equivalent certifications.

Company Name: Dataiku
Job Title: Software Engineer in Test - QA
Job Description: Job title: Software Engineer in Test – QA Role Summary: Develop and maintain automated and manual testing processes for a data‑science platform built with modern web and big‑data technologies. Collaborate with developers to deliver testable code, improve test infrastructure, and mentor junior QA staff. Expectations: Possess solid experience in test engineering, emphasis on automation (API/UI). Proficient in an object‑oriented language (Python, Java, C#, C++). Strong communicator who values collaboration with development teams. Able to evaluate tooling choices before implementation. Key Responsibilities: • Write advanced automated test suites using Python, Pytest, Selenium, Allure. • Design manual test plans, strategies, and prioritization. • Work with developers to ensure testable, high‑quality code. • Enhance test infrastructure (VMs, containers, auto‑provisioning, UI testing). • Mentor and onboard new QA team members. Required Skills: • Test engineering with significant automation experience. • API and/or UI testing expertise. • Object‑oriented programming (Python, Java, C#, C++). • Experience with Jenkins CI, AWS services. • Ability to collaborate cross‑functionally. • Strong analytical and problem‑solving skills. Optional/Desirable: • Knowledge of big‑data frameworks (Hadoop, Spark, Kubernetes). • Cloud platform experience (AWS, Azure, GCP). • Basic understanding of machine learning concepts. Required Education & Certifications: • Bachelor’s degree in Computer Science, Software Engineering, or related field. Optional: Professional certifications in software testing (e.g., ISTQB).

Paris, France

Remote

24-11-2025

Company Name: Dataiku
Job Title: Business Development Representative - UK
Job Description: **Job Title** Business Development Representative – UK **Role Summary** Drive the growth of a leading AI platform by generating, qualifying, and nurturing high‑volume leads in the UK market. Collaborate closely with Sales and Marketing teams to execute targeted outbound campaigns, educate prospects on the product’s value, and support the transition of qualified leads into enterprise deals. **Expectations** - Manage a daily pipeline of inbound and outbound leads via phone, email, and LinkedIn. - Meet revenue and qualification targets in a high‑volume, results‑oriented environment. - Consistently track and report key metrics, identifying optimizations to increase conversion rates. **Key Responsibilities** - Qualify and score incoming leads, ensuring alignment with target verticals and geographical scopes. - Design and execute focused outbound campaigns in partnership with Marketing, targeting SMBs to large multinationals across e‑commerce, retail, finance, insurance, utilities, and transport. - Partner with Sales Executives to move qualified prospects toward closing large enterprise deals. - Educate prospects on the platform’s capabilities, its integration within the broader big‑data ecosystem, and its business impact. - Engage early‑stage prospects, nurturing them for future opportunities. - Capture and analyze weekly activity data; provide actionable insights to refine prospecting strategies. **Required Skills** - Strong interpersonal and verbal/written communication. - Proven experience in software/tech sales or business development, preferably in a startup or high‑growth environment. - Excellent organizational and project‑management abilities; adept at handling high‑volume, time‑critical tasks. - Highly analytical mindset with a strong focus on tracking and reporting all sales activities. - Basic understanding of data science, predictive analytics, and the Big Data ecosystem. **Required Education & Certifications** - Bachelor’s degree in Business, Marketing, Computer Science, or a related field. - No mandatory certifications required, but familiarity with CRM systems (e.g., Salesforce) and sales analytics tools is highly desirable.

London, United kingdom

On site

28-11-2025

View 6 more jobs at Dataiku