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Data Scientist / AI Engineer

Job Overview

Location

Paris

Job Type

Full-time

Category

Data Science

Date Posted

April 3, 2026

Full Job Description

đź“‹ Description

  • • As a Data Scientist / AI Engineer at Lemlist SAS, you will play a pivotal role in shaping the future of our sales engagement platform by identifying and implementing high-impact AI solutions that directly influence product performance and business outcomes. Your work will bridge cutting-edge AI research with practical, production-grade systems that empower sales teams globally.
  • • Day to day, you will: identify opportunities where AI can create leverage across the product and propose concrete use cases; design, develop, and maintain LLM-based systems including prompt engineering, retrieval pipelines, and evaluation frameworks; deploy and operate AI models and infrastructure with GPU server management and model serving; design, train, evaluate, and maintain Machine Learning models in production; and support business and product teams with data-driven insights to inform strategic decisions.
  • • You will join a lean, high-impact data team composed of a Senior Analytics Engineer, a Senior Data Engineer, and a Data Analyst, all of whom directly drive business decisions through rigorous analysis and engineering excellence. This team operates within a profitable, bootstrapped B2B SaaS company that has scaled to $35M ARR and a $150M valuation without external funding, fostering a culture of ownership, speed, and impact.
  • • In this role, you will rapidly accelerate your expertise in productionizing LLMs and ML systems at scale, gain direct exposure to C-suite strategic discussions, and contribute to building a strong AI culture across the organization. You’ll have the autonomy to own end-to-end AI initiatives — from problem framing to deployment and monitoring — while working in an environment that values execution, curiosity, and technical excellence.

🎯 Requirements

  • • 4+ years of experience in a Data Science or AI Engineering role, preferably in a fast-moving environment
  • • Advanced proficiency in Python and SQL for data manipulation, modeling, and pipeline development
  • • Hands-on experience building and operating LLM-based systems, including prompt engineering, agentic pipelines (LangChain), RAG, evaluation frameworks, and observability
  • • Proficiency with deep learning libraries such as PyTorch and Transformers, and experience with embedding models like SentenceTransformers
  • • Experience deploying and managing models on cloud infrastructure, ideally GCP, with familiarity in CI/CD tools (Docker, Jenkins or equivalent)
  • • Fluency in both French and English, and based in Paris (office or remote)

🏖️ Benefits

  • • Competitive salary with an annual company bonus of up to €18K based on company performance
  • • 38 days of paid holidays per year to support work-life balance and recovery
  • • Comprehensive 100% premium medical coverage (Alan Blue) for you and your family
  • • Daily Swile Meal Tickets to support nutrition and productivity during workdays
  • • 100% covered Navigo Card for seamless and cost-free commuting within Paris
  • • Provision of necessary gear, including laptop and tools, to perform your role effectively
  • • Annual global team-building events in exciting locations to strengthen culture and connection

Skills & Technologies

Python
GCP
Docker
Jenkins
GitHub
Data Science
Remote

Ready to Apply?

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Lemlist SAS logo
Lemlist SAS
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About Lemlist SAS

Lemlist SAS operates a cloud-based sales automation platform that combines email outreach, LinkedIn engagement, and multichannel sequencing. Founded in France in 2018, the company provides tools for personalized cold email campaigns, deliverability optimization, dynamic landing pages, and CRM integrations. Its software enables B2B sales teams to automate follow-ups, track metrics, and manage lead lists while maintaining personalized messaging. Serving startups to enterprises globally, Lemlist emphasizes human-centric automation and maintains GDPR compliance across its European infrastructure.

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