Data Scientist / AI Engineer Ajouter aux favoris
- Identify where AI can create leverage across the product, propose concrete use cases, and take ownership from problem framing to production.
- Design, develop, and maintain LLM-based systems: prompt engineering, orchestration, retrieval pipelines, evaluation frameworks, observability...
- Deploy and operate AI models and infrastructure, including GPU server management and model serving.
- Design, train, evaluate, and maintain Machine Learning models in production.
- Support business and product teams with data-driven insights.
- Successfully onboarded and integrated into the team.
- Have a clear understanding of the product, data, and existing AI systems.
- Audited existing LLM systems and ML models, identified quick wins and gaps.
- Shipped a first AI use case end-to-end in production.
- Set up or improved evaluation frameworks for at least one existing LLM system.
- Shipped several meaningful AI use cases that have a measurable impact on the product.
- Built a solid evaluation and observability layer across multiple LLM systems in production.
- Improved significantly the AI culture within lemlist.
- Supported the C-level (CEO, CPO, CMO, Head of Sales...) for strategic decisions.
- Work in a profitable, bootstrapped, and high-growth company that doesn't rely on external funding to live.
- Work on high-impact projects with highly skilled data profiles composed of a Senior Analytics Eng, a Senior Data Engineer and a Data Analyst that directly drive business decisions
- Collaborate directly with the C-suite on strategic topics
- Work with a team obsessed with speed, growth, and impact.
- 4+ years in a Data Science or AI Engineering role, ideally in a fast-moving environment.
- Advanced Python and SQL skills.
- Strong hands-on experience building and operating LLM-based systems: model APIs, agentic pipelines, RAGs, evaluation, and observability.
- Proficiency with agent-based frameworks such as LangChain.
- Hands-on experience with deep learning libraries (PyTorch, Transformers) and embeddings (SentenceTransformers).
- Experience deploying and managing models on cloud infrastructure (ideally GCP suite).
- Familiarity with CI/CD tools (Docker, Jenkins or equivalent).
- Strong interest in getting things into production.
- Strong analytical and problem-solving mindset.
- Fast learner, high ownership, structure, and execution speed.
- Fluent in French and English.
- Paris based (Paris office / remote).
- Experience with workflow orchestration tools (Airflow or equivalent).
- Experience managing GPU servers for model training and serving.
- You have a first experience in B2B SaaS startup
- Knowledge of general IT good practices - maintainable and commented code, GitHub...
- Competitive salary and company bonus (up to 18K€ per year depending on company's performance)
- 38 days of holidays/year
- Alan Blue: Comprehensive 100% premium medical coverage for you and your family
- Swile Meal Tickets: Enjoy daily meal tickets to fuel productivity
- Navigo Card: Seamless commuting with a 100% covered Navigo card
- Gear: Get the laptop, tools, and equipment you need for your job
- Team building: We all meet once per year at really cool places around the world (check our video here)
- 1st call with Victoire our TAM & Ahmed our AI Engineer
- Live technical interview with Ahmed & Eliott - Lead data
- Interview with Charles, CEO
- Reference Check & Offer
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