Senior ml engineer

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.ResponsibilitiesOn the Business SidePartner 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 SideLead the design and development of machine learning models using Py Torch, Tensor Flow, 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 Profile5+ 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 Big Query.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 Tensor Flow or Py Torch.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 SkillsExperience with Lang Chain, Lang Graph, 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.