Top Machine Learning Jobs in Paris

Lead end-to-end execution of complex customer deployments for physical AI and robotics systems. Coordinate cross-functional engineering, hardware, AI, infrastructure, and customer teams; manage milestones, site readiness, testing, validation, logistics, and launch. Engage enterprise customers, surface risks, resolve technical blockers, and build scalable deployment and onboarding processes.

Lead cross-functional teams of machine learning engineers and data scientists, driving technical direction and fostering a collaborative environment to develop high-quality ML-driven capabilities.

Research and investigate global fraud trends using BioCatch data and external sources. Produce data-driven insights, visualizations, written thought leadership, dashboards, and presentations. Build repositories and automate analysis workflows while applying fraud expertise and AI tools to validate findings and support sales and marketing.

Join a product squad to build NLP and ML solutions for legal documents: develop, deploy, monitor models (including LLM-based systems), design conversational agents, collaborate with engineers and product teams, and contribute to MLOps and engineering best practices.

Support the international sales team by optimizing AI-driven lead generation, CRM workflows, and sales pipeline efficiency. Research and qualify prospects, run multichannel outreach, analyze sales KPIs, propose automation (Python, Zapier, Make, ChatGPT agents), contribute to market intelligence, assist in opportunity qualification and closing, and collaborate with technical teams to align product capabilities with client needs.

Lead design and development of scalable front-end applications using React and TypeScript for an AI/ML-powered cloud-native SaaS platform. Collaborate with product, UX, backend, and ML teams to integrate APIs and real-time services, drive front-end architecture, optimize performance and accessibility, and contribute to testing and continuous improvement.

Six-month Operations internship in Paris supporting consulting engagements across sourcing, supply chain, manufacturing, and digital operations. Conduct analyses, diagnose performance issues, develop recommendations, prepare deliverables, manage simple workstreams, interact with clients, and develop expertise in operations domains. Opportunity for travel and potential full-time offer if successful.

Lead product vision and discovery for a genomics-driven diagnostic and personalization platform. Validate hypotheses with patients, clinicians, and partners; translate research into product specs; coordinate labs and data providers; partner with engineers and researchers to build AI prototypes; shape data, regulatory, and GTM strategy while making core product and architectural decisions.

Build core components of a diagnostic and personalization platform: backend data pipelines, frontends, services for genomic data ingestion, ML model integration, APIs, and cloud infrastructure. Collaborate with product and ML teams, iterate on prototypes and MVPs, and make architectural decisions supporting scalability and reliability.

Define and execute the product roadmap for AI-driven blockchain security monitoring tools. Collaborate with cross-functional teams, analyze market and customer feedback, deliver features on time, and communicate with stakeholders to align expectations and improve product offerings.

Provide SAP S/4HANA functional consulting to major clients across sectors: support implementations and migrations across project phases, deliver business analysis and technical project support, and apply deep expertise in SAP modules (FI, CO, MM, SD, PP, PM, EWM), Fiori, SAC, BTP and migration tools. Work in multidisciplinary teams using Agile/Scrum/Waterfall, communicate in English, and proactively solve client problems.

The role involves performing data-related tasks supporting AI content improvement in French, including data collection, evaluation, annotation, and object tagging.

Provide end-to-end GDPR and privacy compliance, own data subject requests and compliance documentation, embed privacy into product and ML workflows, lead commercial contracting for sales, support other legal needs (trademarks, corporate, labor), and potentially grow into the DPO role.

Design, develop, and deploy end-to-end ML/AI solutions: data extraction, modeling, production deployment on container/cloud infrastructure, and monitoring. Work on scoring, document/image extraction, embeddings, knowledge graphs, and financial modeling in small collaborative teams while following software engineering and CI/CD best practices.

Full-cycle recruiter for an AI safety startup, sourcing and hiring engineering, AI research, product, and business roles across the US and Europe. Build technical pipelines, conduct structured interviews, assess candidates for technical and cultural fit, improve recruiting processes and tooling, and advise hiring managers and leadership.

Lead product vision and delivery for complex technical platforms (ML, data, middleware). Translate user and executive needs into actionable roadmaps, collaborate with engineering, incorporate customer feedback, and apply hands-on technical understanding to drive data-driven product decisions.

Own Go-To-Market for performance media buyers: build relationships, close and onboard clients, represent Kayzen at industry events, advise prospects on product strategy, and funnel market feedback across teams.

As a Machine Learning Engineer, you will design and optimize models for tactical robots, leveraging self-supervised learning from EO and IR data.

Lead and design scalable backend systems, set technical vision, drive large cross-team projects, raise engineering standards, mentor engineers, and influence company-wide architecture and processes to support product growth and AI initiatives.

Design and develop UWB, radar and camera-based data fusion algorithms and sensing features. Perform DSP analysis, feature extraction, algorithm optimization, AI model integration, end-to-end integration and validation, and cross-team collaboration for automotive sensing products.

Join a cross-functional AI team to implement and operationalize ML solutions: build scalable MLOps pipelines, deploy production-quality services with CI/CD, testing and containerization, apply ML libraries and GenAI (LLM/agents), and improve go-to-production processes.

Six-month full-time internship to research and implement state-of-the-art computer vision and deep learning models, integrate CV with LLM applications, and collaborate with the ML engineering team to deploy models used by solar and roofing customers.

The Head of Education & Community at Siena is responsible for developing product education, onboarding programs, community events, and market education resources. This role involves creating curricula, conducting workshops, and supporting sales with training and demos while leveraging AI for teaching efficiency.

Build, train and deploy large time-series foundation models (multimodal inputs), design reproducible experiments, create data exploration tools, add datasets, deploy models to API/platform, iterate on user feedback, and mentor future team members.

Lead design and operation of a production-scale data platform for robotics: capture, storage, versioning, high-throughput training pipelines, dataset production from RL/continuous loops, tooling for visualization and debugging, and growth of compute/training infrastructure to keep GPUs fed and enable a continuous data-to-model loop.