Head of Machine Learning

Since 2014, Wiremind has positioned itself as a technical company transforming the world of transport and events with a 360° approach combining UX, software, and AI. Our expertise lies primarily in optimizing and marketing our clients' capacity. We work on various projects such as ticket forecasting and pricing, 3D optimization of air freight or scraping competitor prices. Our applications are the preferred tool of companies such as SNCF, United Airlines, Qatar Airways or even PSG to visualize, analyze and optimize their capacity. Dynamic and ambitious, we strive to maintain our technical DNA which is the engine of our success. The company, profitable and self-financed since its creation 10 years ago, is mainly composed of engineers and experts and currently supports the growth of our business model based on "software-as-a-service" solutions. Your missions 🚀 At Wiremind, the Data Science team is responsible for the development, monitoring and evolution of all ML-powered forecasting and optimization algorithms in use in our Revenue Management systems. Our algorithms are divided in 2 parts: A modelling of the unconstrained demand using ML models (e.g. deep learning, boosted trees) trained on historical data in the form of time-series Constrained optimizations problems solved using linear programming techniques You will be joining a team shaped to have all profiles necessary to constitute an autonomous department (data engineering, MLOps, ML, R&D). Within this organization, the ML team is responsible for the development, improvement and maintenance of new features and algorithms for our SaaS applications, using a mixture of proven traditional methods as well as recent breakthroughs in Deep Learning for regression problems. For example, we benefit from the research conducted by our R&D team, which published work in 2025 on applying causal inference to improve forecasting accuracy (https://arxiv.org/pdf/2411.00126). As Head of Machine Learning, your role will be primarily managerial and organizational, while maintaining strong technical oversight. You will: Lead, mentor and grow the ML team, composed of members with various experience levels, ensuring high-quality delivery and team cohesion Participate in shaping the ML roadmap, and be responsible for turning it into an actionable and achievable plan for the team Drive execution and delivery: structure the team's work, ensure priorities are clear, coordinate efforts across stakeholders, and remove blockers Collaborate closely with R&D, Product, and Data Engineering to translate business needs into scalable ML features Oversee new client implementations, ensuring a smooth and robust integration of algorithmic components into our SaaS products Ensure the reliability of our models in production, supervising monitoring, debugging, and continuous improvement efforts Technical stack: Backend: Python 3.13+ with SQLAlchemy Orchestration: argo-workflows over an auto-scaled Kubernetes cluster Datastores: Druid, ClickHouse and postgresql Common ML libraries/tools: LightGBM, pytorch, pandas, numpy, hera, jupyter notebook Model versioning and registry tool: MLFlow Gitlab / Kubernetes for CI/CD Prometheus/Grafana and Kibana for operations Your profile 🔍 You have a Master’s Degree in Data Science, Applied Mathematics or Computer Science with a minimum of 5 years of working experience You have a strong technical background and master the full lifecycle of a data-science project You are familiar with MLOps concepts You have 2+ years experience in a management position You are result oriented and have a pragmatic approach to ML: testing and frequent deliveries of small incremental gains is preferred to a long tunneled research process You enjoy mentoring junior colleagues, guiding them in their professional growth Our benefits 🤌 By joining us, you will integrate: A self-financed startup with a strong technical identity 🧬 Beautiful 900 m² offices in the heart of Paris (Bd Poissonnière) ✨ Attractive remuneration indexed on performance 💪 A caring and stimulating team that encourages skills development through initiative and autonomy A learning environment with opportunities for evolution 🧑💻 You will also benefit from: Training on demand💡 A hybrid policy: 2 days of remote work per week and the possibility to work occasionally from abroad 💻 A great company culture (monthly afterworks, regular meetings on technology and products, annual off-site seminars, team-building…) An annual budget for your IT equipment A partnership with the People & Baby network of inter-company nurseries to help with childcare for children aged 0 to 3 🐣 Our Recruitment Process 🤞 A screening interview with Anne-Laure, our Senior Talent Manager An interview with the Hiring Manager A technical test or case study to be prepared A last interview at our offices to discuss your technical test or case study and meet with members of the team Wiremind is committed to equality of opportunity, diversity, and fairness. We encourage all candidates with the necessary experience to apply for our job offers. #J-18808-Ljbffr