ML Engineer (F/N/M)

The right career for allCreated in 2006, leboncoin.fr is an exchange platform that simplifies access to consumption, favors local relations and makes digital a tool at the service of all. leboncoin is positioned as a digital, economic, societal, innovative player, always with the same objective: to facilitate all day-to-day exchanges for all of our users. We give a second life to thousands of goods. Behind this apparent simplicity, there is a fast-growing company with 1,400 employees, where it is good to work, a company that cultivates a responsible and collective HR approach. We are also the 1st site for sales between individuals in France and the 5th most consulted site in France.About UsWhat you’ll do & Who you areThe MIM TRX team at LeBoncoin is a cutting-edge group of frontend and backend engineers, machine learning engineers, a quality analyst, an engineering manager, and a product manager, committed to developing the internal back-office website used by our customer relationship service. We specialize in implementing tools related to transactional processes on the LeBoncoin website from item purchases to dispute resolutions in collaboration with a large variety of teams. Our team develops, deploys, and maintains state-of-the-art GenAI-based solutions to support the customer service in answering and solving the issues of our users.The RoleWe're seeking an intermediate/experienced Data Scientist/ML Engineer to join our innovative team. You'll apply advanced machine learning techniques, statistical modeling, and GenAI-based solutions to develop groundbreaking solutions for our business challenges. You’ll play a crucial role in the design and architecture efforts to ensure successful project completion. You’ll maintain and improve the quality of our codebase.Your ResponsibilitiesDesign, implement, test, and deploy end-to-end Machine Learning models or GenAI-based (LLM) solutions to categorize and answer users questionsAdvance our ML practices by exploring novel architectures, implementing transfer learning techniques, and optimizing model performanceContribute to and use robust MLOps practices, including model versioning, experiment tracking, and automated deployment pipelines with the engineersSet and use observability systems for LLMs, including performance monitoring, bias detection, and drift analysis with the teamConduct rigorous A/B testing and statistical analysis to validate model improvements with the productBuild data pipelines and feature engineering processes to enhance model efficiency and accuracy, partnering with our machine learning engineerAttend international conferences on the domain and bring back that knowledge to the companyWrite documentation and publication (paper, speech, blog post) about our workYour Profile3+ years of experience as a ML engineer or Data Scientist, with a strong focus on LLMAdvanced proficiency in Python, including experience with PyTorch or TensorFlowExpertise in designing, training, and deploying complex ML models, particularly in multimodal learning environmentsStrong background in statistical analysis and experimental designProficiency in data manipulation and analysis using SQL, Spark, and pandasExperience with cloud-based ML infrastructure (e.g. AWS)Familiarity with containerization and orchestration tools (Docker, Kubernetes)Solid understanding of MLOps principles and experience with CI/CD for ML workflowsNice to HaveProficiency with TensorBoard for model performance visualization and debuggingExperience with LLM tracking tools such as MLflow, LangFuse, LangSmithFamiliarity with LangChain or similar frameworks for building LLM-powered applicationsExperience with distributed training techniques for large-scale modelsKnowledge of model quantization and optimization techniques for efficient inferenceContributions to open-source ML projects or research publications in relevant fieldsTechnical SkillsProgramming Languages: Python (advanced), SQLML Frameworks: PyTorch or TensorFlow, Hugging Face TransformersData Processing: Spark, pandas, NumPyMLOps Tools: MLflow, Kubeflow, or equivalentVisualization: Matplotlib, Seaborn, PlotlyVersion Control: Git, DVCCloud Platforms: AWSContainerization: Docker, KubernetesJoin our team and contribute to shaping the future of AI-driven marketplaces in France!BenefitsPleasant working conditions (offices, possibility of teleworking...)Attractive remuneration (fixed, variable andprofit-sharing)Opportunities for rapid, tailor-made professional developmenThe meal voucher cardEfficient and competitive health and provident insurance coverIn addition to these, we offer other benefits.Want to find out more? Apply and ask our recruiters!Adevinta is an equal opportunity employer and we value diversity. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status or disability status.If you feel like you don’t meet all of the requirements for this role but are interested, please consider applying anyway. Research suggests that women and individuals from underrepresented groups may self-select out of opportunities if they don’t meet 100% of the job requirements. We strongly encourage people from historically excluded groups to apply and look forward to speaking with you.