Top Machine Learning Jobs in Lyon

The Account Executive will drive new business by selling SaaS solutions to Managed Service Providers in the Nordics, managing the full sales cycle, and achieving revenue targets.

The AI Lead Product Manager will define and own the product strategy for AI-powered health data, lead product teams, engage with stakeholders, and ensure compliance with regulations.

The Digital Platform Functional Expert will manage business requests and ensure seamless integration on the 3DExperience platform to enhance product launches and support digitalization efforts.

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.

The Senior Biostatistician will oversee statistical deliverables for clinical studies, perform statistical analysis, and collaborate on trial designs while leveraging AI and Machine Learning innovations.

The Principal Biostatistician will oversee statistical deliverables for clinical studies, ensuring compliance and accuracy in statistical analysis while leveraging AI and managing external partners.

Work with financial institutions to implement NVIDIA's advanced technologies. Provide technical guidance, stay updated on industry trends, and develop solutions with product teams.

Sell NVIDIA software solutions across assigned EMEA regions: build executive relationships, co-sell with account and channel partners, drive software revenue, manage pipeline/forecasting in SFDC, communicate technical value for virtualized datacenters, cloud-native and AI/ML workloads, coordinate internal resources, and support international travel.

As a Translational Principal Biostatistician, you will lead statistical aspects of translational experiments, prepare analysis plans, conduct research on biomarker analyses, and develop automated statistical tools while collaborating with cross-functional teams.

The Translational Project Lead Biostatistician will oversee statistical deliverables for vaccine projects, ensuring compliance, developing analysis plans, and collaborating on biomarker research.

The Sales Account Manager will drive revenues from new accounts, develop partnerships, manage forecasting, and collaborate with teams to close deals.

Lead the LLM team to architect, train, and deploy AI models, optimizing real-time user experiences and creating advanced moderation systems.

The AI Solutions Engineer translates business needs into AI technical solutions, develops prototypes using Python and Low-Code/No-Code platforms, and supports business teams.

The internship involves deploying data processing pipelines, collaborating with clients, conducting R&D in AI and data science, and supporting sales efforts.

The Solutions Engineer will support customer agencies with the implementation of Cellebrite's digital intelligence platform, focusing on solution design, customer needs analysis, and risk identification while collaborating across teams.

As a Software Architect, you will lead the technical vision of our HR platform, drive AI initiatives, ensure security, and mentor engineers.

The Senior Machine Learning Engineer will design and implement ML pipelines, optimize LLM performance, and collaborate on AI infrastructure for cost-efficient solutions.

Corti is seeking passionate individuals to join their talent community, shaping the future of healthcare through AI technologies. Opportunities include roles in AI technology, machine learning, and software development, focusing on reducing errors and improving patient outcomes.

The Applied Scientist will solve impactful problems using deep learning models and statistical analysis, translating commercial goals into technical solutions.

Nebius seeks a Senior ML Engineer for AI R&D focusing on applied research in reinforcement learning and agent training, requiring deep expertise in machine learning and software engineering.

Design and build simulation environments for robotics research, implement RL algorithms, and evaluate policies for stability and transfer potential. Collaborate with teams and document results.

End-to-end delivery of ML-powered services, involving research, prototyping, production, and operations. Collaborate on product requirements while maintaining high quality and operational excellence.

Lead the Applied AI Team in developing and deploying ML systems for clinical care, mentoring engineers, and driving initiatives across the AI stack.

Own and drive ML solutions for clinical care at scale, including LLM fine-tuning and production deployment, collaborating across teams.