Your Mission As a Senior ML/AI Engineer, you will lead the design, deployment, and scaling of ML/AI models in production. This is a high-ownership role where you will act as both a technical expert and a strategic thinker — ensuring delivery of robust, scalable models while aligning closely with stakeholder needs and business KPIs.
You will work cross-functionally with both technical and business teams to craft tailored, high-impact AI solutions that drive real-world value.

Responsibilities

On the Business Side
  • Partner with clients and internal stakeholders to understand strategic objectives and uncover ML/AI opportunities.
  • Assess feasibility by analyzing available data sources and proposing realistic, impactful solutions.
  • Define project goals, success criteria, and measurable KPIs in alignment with business needs.
On the Technical Side
  • Lead the design and development of machine learning models using PyTorch, TensorFlow, or similar frameworks.
  • Implement best-in-class MLOps practices to automate training, deployment, and monitoring of models (e.g., with Kubeflow).
  • Build and optimize scalable pipelines for data ingestion, model training, evaluation, and inference.
  • Ensure full automation from preprocessing to production, with robust testing and CI/CD integration.
  • Collaborate closely with data engineers and platform teams to ensure model performance, reliability, and maintainability.
Candidate Profile
  • 5+ years of hands-on experience in ML/AI engineering or data science roles.
  • 3+ years of experience with Google Cloud Platform (GCP), including hands-on use of Vertex AI and BigQuery.
  • Proven experience delivering production-grade models and scalable ML systems.
  • Strong knowledge of ML algorithms, model development, deployment, and lifecycle management.
  • Proficiency in Python and ML frameworks such as TensorFlow or PyTorch.
  • Expertise in MLOps tooling and automation (e.g., Kubeflow, MLflow, Vertex AI Pipelines).
  • Experience applying LLMs, especially in Retrieval Augmented Generation (RAG) workflows.
  • Familiarity with data preprocessing, model tuning, and performance optimization.
  • Clear communicator with the ability to translate complex ideas to technical and non-technical audiences.
  • Fluent in English (French or Spanish is a plus).
  • Eligible to work in Europe.
Bonus Skills
  • Experience with LangChain, LangGraph, or dbt.
  • Prior involvement in consulting or client-facing AI/ML projects.
  • Contribution to open-source or published work in AI/ML communities.
Why Join The company values:
  • Generosity – giving back through open-source and community initiatives.
  • Transparency – every voice matters; decisions are shared and aligned.
  • Growth – continuous learning and experimentation encouraged.
  • Ownership – responsibility and impact are celebrated.
  • Trust – people are valued as individuals, not just colleagues.
  • Ever-learning – time is dedicated to innovation, training, and knowledge-sharing.
This is an opportunity to grow, contribute, and make a meaningful impact — both inside the company and in the wider AI/ML community.