Head of Machine Learning

OverviewSince 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 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 PSG to visualize, analyze and optimize capacity. Wiremind is dynamic and ambitious, maintains its technical DNA, is profitable and self-financed since its creation, and is mainly composed of engineers and experts supporting a growth model based on software-as-a-service solutions.Mission focus: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 missionsResponsibilitiesAt 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-seriesConstrained optimizations problems solved using linear programming techniquesYou 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 cohesionParticipate in shaping the ML roadmap, and be responsible for turning it into an actionable and achievable plan for the teamDrive execution and delivery: structure the team's work, ensure priorities are clear, coordinate efforts across stakeholders, and remove blockersCollaborate closely with R&D, Product, and Data Engineering to translate business needs into scalable ML featuresOversee new client implementations, ensuring a smooth and robust integration of algorithmic components into our SaaS productsEnsure the reliability of our models in production, supervising monitoring, debugging, and continuous improvement effortsTechnical StackBackend: Python 3.13+ with SQLAlchemyOrchestration: argo-workflows over an auto-scaled Kubernetes clusterDatastores: Druid, ClickHouse and postgresqlCommon ML libraries/tools: LightGBM, pytorch, pandas, numpy, hera, jupyter notebookModel versioning and registry tool: MLFlowGitlab / Kubernetes for CI/CDPrometheus/Grafana and Kibana for operationsYour profileYou have a Master’s Degree in Data Science, Applied Mathematics or Computer Science with a minimum of 5 years of working experienceYou have a strong technical background and master the full lifecycle of a data-science projectYou are familiar with MLOps conceptsYou have 2+ years experience in a management positionYou 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 processYou enjoy mentoring junior colleagues, guiding them in their professional growthBenefitsA self-financed startup with a strong technical identityBeautiful 900 m² offices in the heart of Paris (Bd Poissonnière)Attractive remuneration indexed on performanceA caring and stimulating team that encourages skills development through initiative and autonomyA learning environment with opportunities for evolutionTraining on demandA hybrid policy: 2 days of remote work per week and the possibility to work occasionally from abroadA great company culture (monthly afterworks, regular meetings on technology and products, annual off-site seminars, team-building)An annual budget for your IT equipmentA partnership with the People & Baby network of inter-company nurseries to help with childcare for children aged 0 to 3Recruitment ProcessA screening interview with Anne-Laure, our Senior Talent ManagerAn interview with the Hiring ManagerA technical test or case study to be preparedA last interview at our offices to discuss your technical test or case study and meet with members of the teamWiremind is committed to equality of opportunity, diversity, and fairness. We encourage all candidates with the necessary experience to apply for our job offers.Since 2014, Wiremind has transformed transport and events with a 360° approach, integrating UX, software, and AI. We excel in optimizing and marketing our clients' capacity, handling projects like ticket forecasting, pricing, 3D air freight optimization, and competitor price scraping. Our tools are trusted by companies like SNCF, United Airlines, Qatar Airways, and PSG for visualizing, analyzing, and optimizing capacity. Dynamic and ambitious, we maintain our technical DNA, driving our success. Profitable and self-financed since inception, Wiremind consists mostly of engineers and experts, supporting our SaaS-based business model. #J-18808-Ljbffr