Senior MLOps Engineer - Data Ingestion

Your Impact Join the Panda Team within our Data & AI Platform as a Senior MLOps Engineer. Your role will be pivotal in constructing and sustaining secure ML pipelines that revolutionize our management of healthcare data at scale. Collaborating with a dedicated feature team, you will develop essential data infrastructure that supports data-driven decision-making while safeguarding the privacy of millions of patients. Being part of the tech team at Doctolib means creating innovative products and features that enhance the daily experiences of healthcare teams and patients alike. What You’ll Build Design and implement comprehensive ML model pipelines in production (including LLM and custom models) with robust deployment, evaluation, and monitoring frameworks. Oversee the data pseudo-anonymization architecture within ingestion services, transforming Tier 0 (personal identifiers) into Tier 1 (anonymized data) while ensuring data quality and model performance. Develop and maintain secure data export services with ML-based threat detection to mitigate attack vectors (SQL injection, etc.) through adaptive models instead of manual rules. Manage golden datasets and establish production model evaluation frameworks to ensure both anonymization quality and system reliability. Construct and maintain data pipelines that efficiently extract, transform, and load data from a variety of sources, accommodating multiple data formats (text, images, audio, video). Implement automation and orchestration tools utilizing ML orchestration platforms (MLflow, Braintrust, or similar) to streamline infrastructure provisioning and minimize manual efforts. Continuously monitor data and ML platforms for performance, reliability, and security; proactively identify and resolve issues. Mentor team members on MLOps best practices to reduce knowledge silos and enhance organizational capability. Life at Doctolib Tech Our solutions are built on a fully cloud-native platform that supports web and mobile app interfaces, multiple languages, and is tailored to specific country and healthcare specialty requirements. Our tech stack features Rails, TypeScript, Java, Python, Kotlin, Swift, and React Native, ensuring we leverage AI ethically across our products to empower patients and healthcare professionals.

Join Talan as a Senior MLOps Consultant Engineer, where you will play a pivotal role in shaping cutting-edge machine learning operations. Collaborate with a dynamic team to develop, deploy, and maintain scalable ML solutions that drive business innovation.

TLDR: We are seeking a skilled Machine Learning Engineer / MLOps Specialist to take ownership of our inference stack, optimizing serving engines and developing vector search pipelines. Your role will involve bridging the gap between Research and Product to deliver models that are efficient, cost-effective, and ready for production.About UsWhite Circle is an AI Safety company dedicated to enhancing the safety, reliability, and optimization of AI systems. Our platform is centered around defining straightforward, natural-language policies that dictate the appropriate and inappropriate behaviors of AI models. We continually test, enforce, and enhance these policies at scale to ensure optimal performance.We have successfully raised $11M from leading investors, founders, and executives from prominent organizations, including OpenAI, Anthropic, Hugging Face, Mistral, DeepMind, Datadog, and Sentry.Our infrastructure handles over 100 million API calls each month.We specialize in fine-tuning and training our own large language models (LLMs) to operate faster and more economically than any competing open or proprietary models.Your ResponsibilitiesOversee the end-to-end inference infrastructure: enhance latency, throughput, and cost efficiency across our model fleet.Develop and scale model serving solutions using TensorZero, vLLM/SGlang/TRT, and Kubernetes.Design and maintain vector search pipelines utilizing vector storage technologies.Demonstrate familiarity with support metrics (SLAs, FCR, deflection) and define service health KPIs.Transform research outcomes into practical applications: collaborate with the research team, assess production readiness, and manage deployment processes including formatting and sampling parameters.Your QualificationsA minimum of 3 years of experience in deploying high-performance ML systems in production, beyond just training notebooks.In-depth experience with inference optimization, including troubleshooting latency issues and understanding the differences between theoretical and actual throughput.Proficient across the tech stack: from CUDA kernels to Kubernetes manifests and Grafana dashboards.Preferred Qualifications: Experience with Rust, custom Triton kernels, and performance benchmarking.Why Join White Circle?Competitive salary ranging from $100,000 to $150,000 plus equity options.20 days of paid vacation annually.Opportunity to work from Paris with a hybrid work model, including a relocation package.Access to top-tier medical insurance in France.

Ubisoft Entertainment S.A. seeks a Software Engineer (MLOps) to join its Paris team. This position centers on improving machine learning operations that help shape and enhance gaming experiences. Main responsibilities Collaborate with teams from different disciplines to build and maintain solutions supporting machine learning workflows. Work on optimizing and streamlining the deployment and management of machine learning models. Apply technical expertise to support ongoing development and drive innovation in MLOps practices. Location This role is based in Paris.

Role overview Alten is looking for a Senior Data Engineer to join the team in Paris. This role focuses on designing and building data solutions that support business intelligence and analytics efforts. What you will do Design and implement data architectures and pipelines Support business intelligence and analytics projects with reliable data solutions Work to optimize data systems for performance and integrity Location This position is based in Paris.

Join Vizzia as a Senior Data Engineer and play a pivotal role in transforming data into actionable insights. Collaborate with cross-functional teams to design and implement robust data pipelines and solutions that enhance our analytics capabilities.

Join our dynamic team at Iliad as a Senior Data Engineer based in Paris. In this pivotal role, you will leverage your expertise in data engineering to design, develop, and maintain robust data pipelines and architectures. You will collaborate with cross-functional teams to drive data-driven decision-making and enhance our data infrastructure.

Join Talan as a Senior Data Engineer and leverage your expertise in Dataiku to drive innovative data solutions. In this pivotal role, you will collaborate with cross-functional teams to design and implement scalable data pipelines and analytics frameworks. Your contributions will empower data-driven decision-making and enhance business intelligence.

Role overview QIMA seeks a Senior Manager of Data & Web Engineering based in Paris. This position leads a team dedicated to developing and enhancing platforms that drive marketing and customer engagement. The work centers on both data and web engineering, with a focus on supporting business growth and outreach. Key responsibilities Guide and mentor a team handling data and web engineering initiatives. Collaborate with other departments to ensure technical solutions fit business goals. Supervise the development and improvement of scalable data infrastructure. Contribute to web technology projects that advance marketing efforts and customer connections. Collaboration This position works closely with cross-functional teams, making sure technical systems support company needs and can adapt as the business evolves.

About UsYubo is the premier social discovery application designed to help users forge new friendships and engage in meaningful online interactions. By removing likes and follows, we enable our users to be authentic and connect genuinely.We are at the forefront of transforming how Generation Z socializes online, boasting millions of active users. Our mission is to redefine social connections both now and in the future.Our diverse and international team is passionately dedicated to our cause. As a leading social platform, we bear the responsibility of creating a safe digital environment for our community. Safety is integral to our identity, and we prioritize user protection, support, and education while collaborating with the tech industry and NGOs to establish top-tier child protection standards.Join us on this thrilling journey and play a key role in shaping the future of social interactions!Role Overview:We are in search of a Senior Data Engineer who thrives in a dynamic environment where experimentation is the standard. You will not be confined to a single squad; instead, you will engage with various initiatives, primarily supporting our product squads as they swiftly prototype and implement new data models.This position is a vital part of the Infrastructure team, granting you significant ownership. You will be tasked with designing data models from the ground up and overseeing their production. Collaborating closely with DevOps, you will optimize databases and servers, allowing you to excel in creating clean, scalable, robust, and cost-effective data pipelines—an essential aspect of our profitability!As a key contributor during project kick-offs, you will participate in design discussions, critically evaluate proposals, and ensure that implementations are feasible.If you have a passion for engaging in fast-paced projects, discussing architecture with backend developers, and developing data models capable of scaling under heavy loads, this is the perfect opportunity for you.

Role Overview nexton is hiring a Senior Data Engineer to strengthen infrastructure and reliability for Audit and ETL workflows. This position is based in Paris and focuses on building and improving data pipelines that underpin essential business operations. What You Will Do Design, implement, and refine data pipelines to support audit and ETL processes Optimize systems for scalability, data quality, and operational efficiency Work closely with other engineers to develop solutions that meet business needs Who We’re Looking For Proactive mindset and a collaborative approach to problem-solving Strong interest in using data to address complex technical challenges Experience with infrastructure and reliability in data engineering environments If you enjoy tackling new challenges and want your work to have a direct impact on data quality and business outcomes, nexton welcomes your application.

Role Overview Talan is hiring a Senior Data Engineer with a focus on Databricks for a permanent position in Paris. This role centers on building and improving data pipelines using big data tools. The Senior Data Engineer works closely with teams from different disciplines to turn raw data into useful insights. Maintaining data quality and making information accessible across the company are key priorities.

Join Aircall, a groundbreaking unicorn company and AI-driven customer communications platform, empowering over 22,000 businesses worldwide to enhance revenue generation, expedite issue resolution, and expand customer-facing teams. We are revolutionizing customer communication by integrating voice, SMS, WhatsApp, and AI into a unified workspace.Our success is fueled by a straightforward principle: enable teams to work smarter, not harder. With our AI Voice Agent, we automate routine calls, while AI Assist optimizes post-call tasks, and AI Assist Pro offers real-time guidance, allowing our teams to excel in their roles. This results in increased revenue, quicker resolutions, and scalable teams.Headquartered in Paris, with a strong presence in North America centered in Seattle, we also have teams in Madrid, London, Berlin, San Francisco, New York City, Sydney, and Mexico City. Our product is beloved by customers, and our business is rapidly expanding, supported by top-tier investors and driven by swift AI advancements across various product lines.At Aircall, you will be part of a dynamic company that values ambition, product focus, and effective execution, providing real impact, fast decision-making, and substantial growth.Our Work Culture: We prioritize customer satisfaction, data-driven decisions, and meaningful outcomes. We embrace ownership, continuous learning, and thoughtful speed. If you thrive in a collaborative and fast-paced environment where trust and impact are paramount, you will find your place with us.We are seeking a dedicated and enthusiastic Senior Data Engineer to become an integral part of our expanding Engineering Team. In this pivotal role, you will manage our analytics and event platform stack.As a member of the Analytics & Data Platform team, you will develop features for our global customer base of over 22,000 companies. Your contributions will unlock data value, enabling our clients to make informed decisions through real-time insights, monitoring, and detailed analytical reports.

Are you looking to join a leading fintech company in credit and insurance, known for its strong growth, innovation, and an abundance of projects? If so, this opportunity could be perfect for you!As part of the Data, AI & CRM department, you will join the Data for Business team responsible for developing data and AI products across all our operations.In an agile environment, you will be part of a team of 5, including data analysts, data engineers, and a Product Manager.Your responsibilities :Define, design, and implement strategies related to the Data Platform:Architecture (currently using BigQuery, Cloud Storage, Dataflow, Pub/Sub, Cloud Composer, Azure exposure) in collaboration with the Architecture teams to ensure cost-effective availability of data;Ensure Data Platform security by working closely with the Group's Cybersecurity teams;Functional coverage (tools, business functions) for the Group and feeding the Bronze layer, which includes implementing and maintaining reliable and efficient data pipelines using Python (ETL/ELT approaches);Build the Silver layer (customer references, opportunities, products, consent, etc.) aligned with business needs, including implementing and maintaining DBT pipelines and providing meta data, especially data models;Monitor activity to ensure data reliability for all our operations.Define, design, and implement the data governance strategy:Contribute to the implementation of data governance (Fluidity, Data Quality, outreach, cultural awareness) with business units and data consumers (Data Analysts, Finance, Data Scientists, etc.).Organize the framework and processes:Establish and promote modern engineering practices: CI/CD, automated testing, infrastructure as code, GenAI for Data, MCP Data Platform, particularly in collaboration with Software Engineering teams.Communicate and collaborate:Be the point of reference for the data engineering team (team leadership, code reviews, skills development) and assist in team recruitment.Maintain an active watch on cloud and data technologies to propose continuous improvement initiatives.

About KovaleeEstablished in 2020, Kovalee is revolutionizing the mobile app landscape with an ambitious mission: to empower app developers to achieve top rankings in their respective niches, irrespective of their resource limitations. Leveraging cutting-edge technology and our expertise in user acquisition, app store optimization, product enhancement, and monetization strategies, Kovalee enables developers to concentrate on their art while we propel their apps’ success. Our flagship applications, including Bend, PepTalk, and ParrotPal, exemplify our achievements, having reached the pinnacle of their categories.Honored as one of the fastest-growing startups of 2024 by Sifted, Kovalee boasts a vibrant, diverse team of over 20 professionals hailing from more than 15 different nationalities, all driven by a common vision: to redefine the mobile app industry.We invite you to join our team as a Senior Data Engineer. In this pivotal role, you will be instrumental in enhancing our data infrastructure. You will architect the team's strategic roadmap, optimize data workflows, and guarantee the delivery of reliable, high-quality data across the organization, empowering more informed decision-making in User Acquisition, Product Management, and Creative Development.

Join our dynamic Analytics Engineering team as a Senior Data Engineer - GCP/BigQuery at Doctolib, where you will play a crucial role in enhancing healthcare accessibility through data-driven insights.Your primary objective will be to develop innovative data products that facilitate informed decision-making across the organization. You will collaborate with a talented team to create robust data pipelines and solutions that support our AI strategy.At Doctolib, we pride ourselves on fostering a collaborative and agile environment, working closely with product, design, and business teams to build features that improve the everyday lives of healthcare professionals and patients.Your responsibilities will include:Designing and maintaining data pipelines using Python to align with Doctolib’s AI initiatives.Developing and managing data marts in BigQuery utilizing SQL/Jinja and DBT.Creating high-level reporting dashboards with Tableau.Engaging with stakeholders to grasp their data requirements and establish clear specifications.Ensuring data quality, security (GDPR compliance), and availability through diligent monitoring and optimization.About Our Tech Environment:Our infrastructure is fully cloud-native, facilitating web and mobile interfaces across various languages, tailored to meet specific healthcare and country requirements. We are modularizing our platform and operating it in a distributed architecture using reusable components.Our tech stack includes Rails, TypeScript, Java, Python, Kotlin, Swift, and React Native.We prioritize ethical AI integration across our products to empower both patients and healthcare professionals. Explore our AI vision here and learn about our inaugural AI hackathon here!Our data stack comprises Kafka/Debezium for data ingestion, Dagster/DBT for orchestration, GCS/BigQuery for data warehousing, and Metabase/Tableau for BI and reporting.

Join Believe, an innovative leader in the music industry, as a Senior Data Engineer. In this pivotal role, you will leverage your expertise in data engineering to drive insightful analytics and support our data-driven decision-making processes. You will collaborate with cross-functional teams, ensuring the integrity and availability of our data systems.

Join Our TeamDoctolib is seeking a Senior Data Engineer - Analytics to become a vital part of our Analytics Engineering team.In this role, you will be instrumental in creating data products that yield actionable insights and enhance decision-making across Doctolib, contributing to the evolution of healthcare access. You will collaborate with a dynamic team to develop data pipelines and solutions that bolster our organization's capacity for data-driven decision-making and support our AI initiatives.At Doctolib, our tech team is dedicated to crafting innovative products and features that significantly improve the day-to-day experiences of both care teams and patients. We operate in feature teams within an agile framework, fostering close collaboration with product, design, and business teams.Your Key Responsibilities:Develop and maintain data pipelines using Python (Dagster) to align with Doctolib's AI strategy.Build and sustain data marts in BigQuery using SQL/Jinja, DBT.Create insightful dashboards for high-level reporting utilizing Tableau.Engage with stakeholders to identify their data requirements and outline specifications.Ensure data integrity, security (compliance with GDPR), and accessibility through continuous monitoring and optimization.Our Technical Environment:Our solutions are built on a fully cloud-native platform that supports web and mobile interfaces, multiple languages, and is tailored to various country and healthcare specialty needs. We modularize our platform to operate in a distributed architecture leveraging reusable components.Our technology stack includes Rails, TypeScript, Java, Python, Kotlin, Swift, and React Native.We ethically leverage AI across our products to empower patients and health professionals. Learn more about our AI vision here and our first AI hackathon here!Our data stack incorporates Kafka/Debezium for data ingestion, Dagster/DBT for orchestration, GCS/BigQuery for data warehousing, and Metabase/Tableau for business intelligence and reporting.

Join Outsight, where our innovative software solutions harness the power of 3D LiDAR data to monitor the movement of individuals and vehicles. Our technology is utilized by transportation hubs, including airports, train stations, sports venues, road infrastructures, and industrial sites, enabling operators to access precise and anonymous Spatial Intelligence data that enhances operational efficiency and elevates user safety and satisfaction.Our dynamic international team, comprised of talented scientists and engineers, drives the advancement of our solutions from our offices in Paris, San Francisco, Sophia-Antipolis (Nice), and Hong Kong, with an additional commercial office in Spain. To learn more about our mission and offerings, visit Insights about Outsight.ContextBecome a key member of our Platform Engineering team, where you will ensure the reliability, scalability, and automated deployment of the Data Layer for our Shift Cloud Platform. This essential system processes 3D LiDAR object change events captured and analyzed by our perception engine. Your focus will be on achieving operational excellence to deliver spatial intelligence utilized by prominent global airport operators.ResponsibilitiesAutomate the deployment and testing of data pipelines using cutting-edge CI/CD methodologies.Implement and manage Infrastructure-as-Code (IaC) for our AWS cloud data platform, ensuring consistent environments.Design, implement, and maintain monitoring, alerting, and logging systems to oversee data quality, pipeline health, and system performance.Proactively optimize and tune the data platform for cost efficiency, performance, and reliability.

Nous sommes à la recherche d’un consultant de haut niveau spécialisé en Data Engineering, disposant d’une expertise approfondie dans les technologies AWS (Kinesis, DMS, S3, etc.), Airflow, Terraform, GitLab CI/CD, Python ainsi qu’une solide maîtrise des bases de données telles qu’Exadata, Oracle, SQL Server et Snowflake. Il sera chargé de concevoir et développer des pipelines de réplication et de traitement de données dans un environnement cloud tout en contribuant activement à la fiabilité, l’automatisation et la scalabilité de notre plateforme data. Rejoignez-nous, épanouissez-vousVos missions : Développement de pipelines ETL/ELT avec Airflow, Python, SQLConnexion aux bases sources (Exadata, Oracle, etc.)Intégration des données dans AWS (S3, Kinesis, DMS, Lambda...)Nettoyage, mapping, déduplication et enrichissement des donnéesCollaboration avec les architectes pour appliquer les modèles ciblesDocumentation technique et référentielsConcevoir et mettre en œuvre les flux de réplicationHarmoniser et transformer les donnéesAutomatiser les pipelines de donnéesDévelopper des Pipelines GitLab CI/CDDévelopper d'IaC pour des architectures sophistiquées full AWS avec Terraform, Ansible et Python.Contribuer au FinOps Vous êtes le bon candidat si :Aptitudes : Être dynamique, proactif, autonome, et ouvert d'esprit, bon communicant avec une grande curiosité scientifiqueTrès bonne maîtrise de l’écosystème AWS (S3, Kinesis, DMS, Lambda…)Très bonne maîtrise des bases de données et des Data warehouses (Exadata, Oracle, SQL Server, Snowflake, etc.)Maîtrise des langages : SQL, PythonMaîtrise des outils de traitement et d’orchestration (Apache Airflow, dbt, Python, SQL)Bonne expérience en Terraform pour l’IaCConnaissance de GitLab CI/CD pour l’automatisation des déploiementsExpérience avec des CRMConnaissance des problématiques de data quality, modélisation, monitoring et alertingExpérience : Justifier d'au moins 6 ans d'expérience en tant que Data Engineer ou Ingénieur Intégration Data dans des environnements similairesUne ou plusieurs certifications (AWS, Snowflake, Terraform, etc.) sont fortement appréciéesLangues : Maîtrise de l'anglais courant Ce que nous avons à vous offrirCAPFI est une entreprise vivante qui place le collectif et le bien-être au cœur de sa culture.