Since 2019, HeadMind Partners AI has been supporting major companies (CAC40 & SBF120) to strengthen the operational efficiency of their subject matter experts through AI. This activity is experiencing steady growth (+€5M in revenue in 2024 – +50% growth in 2025). It currently brings together over 70 engineers who have developed strong expertise across the entire AI value chain: detection, prediction, anticipation, protection, etc.

Your Missions:

As a Data Scientist / MLOps Consultant, you will be responsible for the architecture and implementation of ML deployment pipelines, as well as the industrialization of AI solutions to meet client needs. You will be specifically responsible for setting up production infrastructure, monitoring models, and continuously optimizing performance.

You will also be able to work on the industrialization of state-of-the-art solutions, some of which are deployed for our clients. Examples include: Genius. Cyber, a conversational assistant dedicated to cybersecurity; MindHead.Conformité, a multi-model solution to help organizations achieve regulatory compliance (CSRD, NIS2, Approval, Contract, PSR, etc.); Visual Search, an ultra-powerful search engine based on image matching; TalentMind, an HR retention tool; etc.

You will work closely with the data science teams to ensure a smooth transition between development and production, implementing DevOps best practices adapted to the ML context.

Your profile:

A graduate of a leading engineering school with a dual degree in Engineering/Business School, or a PhD in Quantitative Sciences or Artificial Intelligence.

You have between 0 and 3 years of experience.

First knowledge of Data Science acquired through your studies and experience, and an interest in industrializing and implementing ML models.

An interest in generative AI, but not only...

Proficiency in Python and associated libraries.

Experience in model deployments in the cloud (AWS/Azure/GCP), as well as skills in containerization (Docker/Kubernetes) and orchestration of ML pipelines.

Technologies:

Cloud (AWS, GCP, Azure, Outscale)

Docker/Kubernetes

AirFlow

CI/CD

The Recruitment Process:

The recruitment process at HeadMind Partners AI & Blockchain is certified Happy Candidates and consists of three stages:

1-Introduction interview with a recruiter: qualification of your search, assessment of your interest and suitability for consulting, identification of your hard and soft skills, etc. Debriefing.

2-Technical test with a business expert to assess your technical knowledge. Debriefing.

3-Validation interview with a recruitment manager to confirm mutual interest and validate your application.

Your future work environment:

Young team of 70 consultants (Paris & Brussels)

Collective intelligence promoted through dedicated group work

Powerful hardware (+20 NVIDIA H100 and H200 GPUs)

Synergies between AI and Cyber expertise

Teams driven by three strong commitments: supportive supervision, lifelong learning, and professional development