Clément Baccar

Head of Data & AI · AI Trainer · Data Leader

baccar.clement@gmail.com +33 6 07 96 04 63 Paris, France linkedin.com/in/clement-baccar-a23b6768

Profile

Dual-track Data and AI leader combining deep technical expertise in MLOps, DataOps and GenAI with executive strategy. Track record of building high-performing full-stack teams, driving significant revenue generation through AI product innovation, and executing large-scale modernisation of data architectures.

Tech Stack

Languages & Core

  • Python
  • SQL
  • Pandas

ML & GenAI

  • PyTorch
  • scikit-learn
  • LangChain
  • DVC

Data Eng & DBs

  • PostgreSQL
  • Elastic
  • BigQuery
  • Neo4j
  • Airflow
  • Prefect
  • Dataiku
  • dbt

Cloud & Infra

  • GCP
  • Scaleway
  • OVH
  • Terraform
  • Cloudbuild
  • GitLab CI

API & Dev

  • Flask
  • FastAPI
  • GitHub
  • GitLab

Geospatial

  • PostGIS
  • Rasterio
  • BigQuery GIS
  • pgRouting
  • QGIS

Languages

French Native
English Professional

Education

Advanced Master, IT Management (Joint Degree)

ESSEC Business School & Telecom ParisTech

2015 – 2016

Master 2 Data Science, Econometrics, ML

University of Paris I: Panthéon-Sorbonne

2014 – 2015

Communities & Activities

Member (Core)

Tech.Rocks

Nov 2024 – Present  ·  France

Network of tech leaders in France.

Data Architect Advisor

The Future Society – Project AIM

Jan 2021 – July 2022  ·  Remote

Think tank incubated at Harvard Kennedy School on AI governance.

GIS Engineer (Volunteer)

SurfRider – Plastic Origin

Mar 2020 – Dec 2021  ·  Remote

Mapping European riverine plastic pollution using GIS and computer vision.

Professional Experience

Head of Data & AI

Brut.

April 2022 – Present Paris, France
  • Management & Leadership: Recruited and managed an 8-person full-stack Data team (Data Engineers, Analysts, ML Engineers), fostering a product culture and full technical autonomy.
  • Business & Revenue: Generated +200k€ in new revenue streams within months by developing commercial offers based on Generative AI.
  • GenAI Strategy & Adoption: Deployed a global GenAI strategy for 200 employees across 3 continents, achieving a >80% adoption rate.
  • Innovation & Product: Designed and deployed 5 major GenAI projects into production, transforming content creation and analysis.
  • Infrastructure & Reliability: Built a unified Analytics platform integrating 10+ data sources (Social Media, Third-party) with continuous collection ensuring a >95% SLA.

AI Trainer

Pollen

June 2023 – Present France
  • Trained 200+ professionals on Generative AI across various organisations.

Head of Data & ML Engineering

namR

Dec 2018 – April 2022 Paris, France
  • Deep Learning & Scale: Developed and industrialised a Deep Learning inference platform processing 34M+ aerial images for French building characterisation.
  • Transformation & Modern Data Stack: Led the strategic migration of 500+ tables and workflows from legacy systems to a "Code-First" architecture (Airflow), integrating MLOps and Data Quality standards.
  • Team Management: Grew and structured the team to 10 Data Engineers, managing full-cycle recruitment, career paths, and technical upskilling.
  • Architecture: Designed automated ingestion pipelines for Open Data, reducing technical debt and accelerating update cycles.

Machine Learning Engineer

Saegus

Feb 2016 – Nov 2018 Paris, France
  • Machine learning engineer focused on customer insight and data-driven product development.

Machine Learning Engineer, Customer Insight

Air France

Oct 2014 – Oct 2015 Paris, France

Conferences & Podcasts

Speaker at various tech events and guest on podcasts discussing Data Strategy, Generative AI and MLOps. Topics cover GenAI adoption in the enterprise, modern data architectures, and lessons from building data teams at scale.

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