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La Javaness Tech Stack

AI services firm scaling enterprise machine learning deployments

Technology, Information and Internet Paris, Île-de-France 51–200 employees Founded 2015 Privately Held

La Javaness delivers production AI systems for banking, industrial, and public-sector organizations across France. The stack centers on Hadoop, Spark, Python, and scikit-learn/PyTorch—a classical ML ops setup—with active R&D on open-source methods. Hiring is minimal and narrowly focused on data roles, suggesting a services-first model where client projects drive capacity rather than platform expansion.

Tech Stack 14 technologies

Core StackHadoop Apache Spark Python Java Jira GitHub pandas scikit-learn PyTorch R Keras

What La Javaness Is Building

◆Challenges

Automatisation des opérations
Dimensionnement et sécurité des infrastructures
Support des solutions hébergées

▲Active Projects

Datathon
Déploiement des solutions d'ia
Projets d'innovation digitale
Client data projects
R&d on machine learning methods

Hiring Activity

Minimal6 roles · 0 in 30d

Department

Data

4

Marketing

1

Ops

1

Seniority

Intern

2

Mid

2

Senior

2

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About La Javaness

La Javaness is a French AI services and consulting firm founded in 2015, operating at 51–200 employees across Paris. The company specializes in deploying machine learning and deep learning systems at scale for large organizations in finance, manufacturing, and government sectors. Projects span cognitive search, NLP, predictive analytics, and process automation. The firm invests significantly in R&D tooling and training—over 1,000 client staff have been trained across engagements—and emphasizes strategic autonomy and secure industrialization of open-source AI technologies on core business processes.

HeadquartersParis, Île-de-France

Company Size51–200 employees

Founded2015

Hiring MarketsFrance

Frequently Asked Questions

What tech stack does La Javaness use?

Hadoop, Apache Spark, Python, R, Java, Jira, GitHub, pandas, scikit-learn, Keras, and PyTorch. The stack reflects a focus on classical data engineering and machine learning model training and deployment.

What is La Javaness working on?

Deploying AI solutions for enterprise clients, R&D on machine learning methods, datathon initiatives, digital innovation projects, and client data analytics engagements. Internal challenges include infrastructure security and scaling, and hosted-solution support.

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