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Senior Data Engineer (LLM/Python) - H/F

Data & Blockchain
Paris
60 000 - 70 000 € par an
Bac +5
Télétravail partiel possible
Cadre

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    Description du poste

    Our client is a LegalTech with 70 employees working to make international law and arbitration more transparent and accessible. Founded in 2018, the company is a search engine for international law and arbitration. They use artificial and collaborative intelligence to collect and structure global legal data (they have and maintain two main products).

    Leading international law firms, governments and corporations around the world use this company’s AI technology to conduct in-depth legal research and due diligence with confidence.

    To continue their expansion, they have just raised €10 million in funding.
    They are now looking for a Senior Data Engineer to join the new Impact Team to work specifically around LLMs and ship more organic experiences to their users.

    Localisation : Paris (75008) – Partial remote possible.
    Technical surroundings : Python, Go, Nuxt.js, Vue.js, Node.js, Symfony with JQuery, Docker, Git and Gitlab, PostgreSQL, Elasticsearch, Neo4j and Redis.
    Salary : 60 000€ – 70 000€ + BSPCE (stock-options).

    As part of your duties, you will be responsible for :

    – Create, test, maintain, and consume internal & external APIs (mainly Python, a little bit of Go);
    – Write conception Proposals, RFC and analysis;
    – Help to create Proof Of Concept, Minimum Viable Product;
    – Implement new features and fix bugs;
    – Work on LLM application (llama-3, GPT-4, Mixtral, etc…);
    – Do prompt engineering, few short learning and fine-tuning;
    – Be a mentor for others team members;
    – Ensure a good level of quality in overall.

    Profil recherché

    Your profile:

    – You have at least 5 years’ experience in your field and have mastered at least part of our Tech Stack;
    – You thrive in a fast-paced environment;
    – You are climbing the slope of enlightenment (Dunning–Kruger effect);
    – Having worked on at least one LLM project;
    – Knowing how to leverage LLM;
    – Fluency in English is mandatory and knowledge of French is a bonus.

    Company benefits:

    – BSPCE;
    – Luncheon voucher;
    – Seminar every quarter;
    – Teleworking possible (3 days per week);
    – Possibility of travelling abroad for 8 weeks per year.