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AI Engineer | Startup Web3 SaaS B2B2C |

Data Recrutement

Paris

À distance

EUR 60 000 - 90 000

Plein temps

Il y a 6 jours
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Résumé du poste

A leading company in the Web3 SaaS space is searching for an AI Engineer to join their innovative team in Paris. This pivotal role involves designing and implementing advanced AI solutions in a dynamic startup environment. The ideal candidate will possess a PhD and extensive experience in machine learning, deep learning, and cloud technologies. This position offers competitive compensation and the opportunity to work remotely, contributing to cutting-edge projects focused on compliance solutions.

Prestations

Token options plan
Competitive salary
Full remote flexibility

Qualifications

  • Strong understanding of machine and deep learning frameworks.
  • Experience with NLP, LLM, and Computer Vision.
  • Proven experience as an AI Engineer or similar role (at least 5 years).

Responsabilités

  • Designing, developing, and implementing AI models and algorithms.
  • Optimizing cloud-based solutions on AWS/GCP/Azure.
  • Working with cross-functional teams and C-level executives.

Connaissances

Machine Learning
Deep Learning
Natural Language Processing
Data Engineering
Communication

Formation

PhD in Computer Science, Artificial Intelligence, or related field

Outils

TensorFlow
PyTorch
AWS
GCP
Azure
Hadoop
Spark

Description du poste

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AI Engineer | Startup Web3 SaaS B2B2C |, Paris

Client: Data Recrutement

Location: Paris, France

Job Category: Other

EU work permit required: Yes

Job Reference: 1f6320aa7492

Job Views: 7

Posted: 22.06.2025

Expiry Date: 06.08.2025

Job Description:

The Startup :

  • A compliance solution that helps to struggle against money laundering
  • 300m$ ICO
  • Offices in Zurich, Paris and Utrecht
  • Strong multicultural team coming from best web3 companies
  • Full remote position

Tech Stack : Solidity, Hardhat, slither, manticore, NodeJS, OpenGSN Infrastructure, TheGraph, TypeScript, Python SDKs, React, wagmi, AWS + Vercel + GitHub Actions, RAG Agents, LLM, etc

To find out more about the name of the company and the context: ask me at (I'll take the opportunity to confirm whether your profile is a good match) and take the opportunity to add me directly on LinkedIn!

Position :

The company is seeking an AI Engineer to participate in the construction of the product and bring your vision.

  • Reporting: CTO
  • Vision: To create an end-to-end tokenization platform for real-world assets.

In this role you will:

We are seeking a talented and experienced AI Engineer to join our dynamic team. The ideal candidate will be responsible for designing, developing, and implementing AI models and algorithms to address various business challenges. This role requires a deep understanding of machine learning, data engineering, and software engineering principles.

- Proven experience in software development, from design to implementation, deployment, and monitoring.

- Proficiency in Python and AI frameworks and libraries.

- Strong knowledge of AI technologies, including machine learning, deep learning, and natural language processing (torch, transformers, langchain, LLMs, RAGs, fine-tuning...).

- Mastery of the design, implementation, and optimization of cloud-based solutions on AWS/GCP/Azure platforms to ensure scalability, reliability, and security.

- Expertise in data engineering and data management, including data ingestion, transformation, and storage.

- Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and C-level executives.

- Knowledge of the compliance and blockchain sectors is a real plus!

Requirements

  • PhD in Computer Science, Artificial Intelligence, or related field.
  • Proven experience as an AI Engineer or similar role (at least 5 years)
  • Strong understanding of machine and deep learning frameworks (TensorFlow, PyTorch).
  • Knowledge of cloud services such as AWS, Google Cloud, or Azure.
  • Excellent problem-solving skills and the ability to work independently and as part of a team.
  • Strong communication skills to explain complex concepts to non-technical stakeholders.
  • Experience with NLP, LLM, and Computer Vision.
  • Familiarity with big data technologies (Hadoop, Spark).
  • Experience in deploying AI models in production environments.
  • Competitive salary with generous token options plan
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