Senior AI Engineer

Mendo; Paris; Sur place; EUR 70 000 - 90 000; Plein temps

Avantages offerts par ce poste

Equity participation

Access to cutting-edge AI technologies

Opportunity to build and lead AI/ML team

Résumé du poste

Mendo is seeking a Senior Data Scientist / AI Engineer in Paris to identify and create AI solutions that enhance the product for users. This role offers autonomy in exploring AI initiatives while mentoring the next generation of data scientists.

The candidate should have 4-6 years in data science, expertise in LLM fine-tuning, and a passion for transforming products through AI. The position supports a hybrid work environment, allowing for a mix of on-site and remote work.

Qualifications

• Minimum 4–6 years of experience in data science / ML engineering.
• Significant experience with LLMs and GenAI architectures.
• Excellent command of English; French optional.

Responsabilités

• Identify and deploy AI solutions to increase value for users.
• Propose AI use cases aligned with business objectives.
• Mentor and train a junior Data Scientist.

Connaissances

Machine Learning expertise

Deep mastery of LLM fine‑tuning

Experience with GenAI architectures

Knowledge of ML/DL frameworks

Python mastery

Knowledge of vector databases

Understanding of cost and latency challenges

Formation

PhD in ML/AI, Computer Science or related field

Outils

PyTorch

TensorFlow

Azure ML

Description du poste

Location: Paris, Châtelet – Hybrid (2 days on-site / 3 days remote)

Contract: Full-time (CDI)

Team: Technology – Direct report to CTO

Main Mission

Identify, design, and deploy AI and Machine Learning solutions that concretely increase the value delivered by the Mendo application to our users. As a Senior Data Scientist / AI Engineer, you will be the technical pioneer of AI integration into our product, with full autonomy to explore, experiment, and implement ML and GenAI models (fine-tuning, embeddings, RAG, etc.). Your mission is to transform business opportunities into pragmatic and measurable AI solutions integrated in Mendo, serving over 60 enterprise clients (PwC Global, BDO, EY...). You will mentor a junior Data Scientist and establish the standards of excellence for data science practice at Mendo.

Key Responsibilities

• Proactive AI Opportunity Identification: analyze the product, usage patterns, and customer feedback to identify where AI can create concrete value.
• Propose relevant AI use cases aligned with product roadmap and business objectives.
• Ruthlessly challenge and prioritize AI initiatives to focus on user impact and ROI.
• Collaborate closely with the Product Lead and PMs to transform business needs into actionable AI opportunities.
• Establish a framework for prioritizing AI projects based on impact, feasibility, and effort.
• Research and experiment with ML and GenAI models (LLMs, embeddings, classification, clustering, recommendation).
• Fine-tune existing models (OpenAI, Anthropic, open-source) rather than building from scratch.
• Design and implement end-to-end AI pipelines: data prep, training/fine-tuning, evaluation, deployment.
• Develop RAG (Retrieval-Augmented Generation), semantic search, and other GenAI architecture solutions.
• Optimize model performance and costs in production (latency, tokens, infrastructure).
• Implement monitoring and continuous quality evaluation systems for models.
• Prioritize ruthlessly, favor simple and effective solutions, avoid over-engineering, prototype fast, iterate, and document technical decisions.
• Mentor and train a junior Data Scientist; establish best practices for code quality, MLOps, experimentation; collaborate with development squads; evangelize AI possibilities internally; build the data science practice for future growth.
• Work hand-in-hand with the CTO, product teams, development teams, and Customer Success; present results and recommendations to stakeholders.

Required Skills

• Machine Learning expertise: minimum 4–6 years of experience in model development and deployment.
• Deep mastery of LLM fine‑tuning (OpenAI, Anthropic, Llama, Mistral, etc.).
• Solid experience with GenAI architectures: RAG, embeddings, semantic search, advanced prompt engineering.
• Knowledge of ML/DL frameworks: PyTorch, TensorFlow, Hugging Face Transformers, LangChain, LlamaIndex.
• Experience with cloud platforms for ML (Azure ML, AWS SageMaker, or Google Vertex AI).
• Python mastery and data science libraries (scikit‑learn, pandas, numpy, etc.).
• Knowledge of vector databases (Pinecone, Weaviate, Qdrant, etc.).
• Familiarity with MLOps pipelines: model versioning, A/B testing, production monitoring.
• Understanding of cost, latency, and scalability challenges for AI solutions in production.

Know‑how

• Demonstrated ability to prioritize effectively and deliver value quickly.
• Track record of AI use‑case proposals that created measurable business impact.
• End‑to‑end ownership from research to deployment and production monitoring.
• Ability to prototype rapidly and iterate based on user feedback.
• Excellence in model evaluation and benchmarking.
• Clear communication of complex technical concepts to non‑technical audiences.
• Close collaboration with product and engineering teams.
• Mentoring and training of junior profiles.

Soft Skills

• Product mindset: obsession with user impact and real value creation.
• Autonomy and proactivity: identify opportunities without waiting to be told.
• Pragmatism and efficiency: preference for simple solutions that work.
• Sharp sense of priorities and courage to say no to non‑impactful projects.
• Insatiable curiosity: passion for new AI advances.
• Scientific rigor: methodical approach to experimentation and benchmarking.
• Team spirit: collaboration with product, engineering, and business.
• Teaching ability: pleasure in sharing knowledge and helping others grow.
• Alignment with values: Learning, Innovation, Excellence, Kindness.

Desired Profile

• Minimum 4–6 years of experience in data science / ML engineering with focus on production deployment.
• Significant experience with LLMs and GenAI architectures (fine‑tuning, RAG, embeddings).
• Track record of AI projects that created measurable business value in product environments.
• Experience in B2B or B2C SaaS with millions of users is a strong plus.
• Proven ability to work autonomously and make informed technical decisions.
• Excellent command of English (technical and professional); French optional but appreciated.
• Experience in tech education, learning, or productivity tools is a plus.
• PhD in ML/AI, Computer Science, or related field a plus but not required.

What We Offer

• Equity participation in a fast‑growing scale‑up’s capital.
• Major impact: be the AI pioneer at Mendo and shape the product’s future.
• Full autonomy to explore, experiment, and propose AI initiatives.
• Direct reporting to CTO, visibility and influence on the company's technical strategy.
• Opportunity to build and lead the AI/ML team as the company grows.
• Access to cutting‑edge generative AI technologies.
• Stimulating work environment: young, fun, and caring culture where innovation is encouraged.
• Hybrid model (2 days on site/3 days remote) for optimal work‑life balance.
• Meaningful mission: help make AI accessible and impactful for everyone.

What We Expect from You

A senior autonomous profile who doesn't just execute tickets but proactively identifies where AI can transform our product. You should know how to say “this project doesn’t make sense” as much as you can point out a golden opportunity that must be seized. A pragmatic, delivery‑focused professional who prefers delivering several simple AI features that work over a complex POC that stays in a notebook.