AI Solution Architect (English & French fluent) at Dataiku

Paris, Île-de-France, France

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Financial Services, InsuranceIndustries

Requirements

French and English - fluent
Curiosity and a desire to learn new technical skills
Empathy and an eagerness to share your knowledge with your colleagues, Dataiku’s customers, and the general public
Ability to clearly explain complex topics to technical as well as non-technical audiences
Over 5 years of experience with coding (Python, R, SQL)
Over 5 years of experience building ML models
Understanding of underlying data systems and platform mechanics such as Cloud architectures, K8S, Spark, and SQL

Responsibilities

Help users discover and master the Dataiku platform through user training, office hours, demos, and ongoing consultative support
Analyse and investigate various kinds of data and machine learning applications across industries and use cases
Provide strategic input to the customer and account teams that help make our customers successful
Scope and co-develop production-level data science projects with our customers
Mentor and help educate data scientists and other customer team members to aid in career development and growth

Skills

Key technologies and capabilities for this role

PythonRSQLPySparkJavaScriptDataikuMachine LearningBig Data

Questions & Answers

Common questions about this position

What experience is required for the AI Solution Architect role?

Candidates need over 5 years of experience with coding in Python, R, SQL, and over 5 years building ML models, plus fluency in French and English. Understanding of data systems like Cloud architectures, K8S, Spark, and SQL is also required.

Is this position remote or hybrid?

The position is hybrid.

What are the bonus qualifications for this role?

Bonus points are given for experience with consulting or customer-facing data science roles, industries like bank & insurance or manufacturing, Spark, SAS, Data Engineering, MLOps, web apps in JavaScript/RShiny/Dash, building APIs, enterprise data science tools, and passion for teaching or public speaking.

What soft skills are important for this position?

The ideal candidate has curiosity and a desire to learn new technical skills, empathy and eagerness to share knowledge, and the ability to clearly explain complex topics to technical and non-technical audiences.

What makes a strong candidate for the AI Solution Architect role?

A strong candidate is fluent in French and English, has over 5 years of coding and ML model building experience, understands data systems, and demonstrates curiosity, empathy, and strong communication skills. Bonus experience in consulting, customer-facing roles, or relevant industries strengthens the application.

Dataiku

AI solutions for operationalizing business processes

About Dataiku

Dataiku develops AI solutions aimed at integrating artificial intelligence into everyday business operations. Their products focus on operationalizing AI, which helps businesses enhance their processes and outcomes. Key offerings include Generative AI, which creates new content or predictions, and MLOps, which facilitates collaboration between data scientists and operations teams to manage the machine learning lifecycle. Dataiku's solutions have proven effective, as demonstrated by their work with a retail client that improved forecast runtime by 900% with high accuracy. The company generates revenue by providing these AI solutions and has a partnership with AWS, enhancing their service offerings and scalability for clients.

New York City, New YorkHeadquarters

2013Year Founded

$823.3MTotal Funding

SERIES_FCompany Stage

Data & Analytics, AI & Machine LearningIndustries

1,001-5,000Employees

Benefits

Health, life & pension benefits

Equity

Time off for R&R

Public holidays

Work from anywhere policy (unique to team)

12 weeks of paid parental leave

Volunteering opportunities

Career Development opportunities

Technology stipend

Onsite meals & healthy snacks

Office happy hours

Company-wide events

Risks

Competition from AI platforms like Databricks may impact Dataiku's market share.

High costs of generative AI initiatives could strain client budgets.

Reliance on partnerships poses risks if collaborations face challenges.

Differentiation

Dataiku offers a centralized platform for enterprise AI and data analytics.

The company integrates with AWS, enhancing connectivity and scalability for clients.

Dataiku's LLM Guard Services ensure controlled Generative AI rollouts.

Upsides

Dataiku's partnership with Rower Consulting expands its reach in the pharmaceutical sector.

Recognition in Gartner's Magic Quadrant boosts Dataiku's credibility in AI solutions.

Dataiku Stories enhances user engagement with Generative AI-powered presentations.

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