Top Machine Learning Jobs in Paris

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

The Compute Legal Counsel will draft, negotiate contracts, advise on compliance, and support the Compute business with legal expertise.

As M&A Tech Specialist, you will identify and evaluate AI acquisition opportunities, conduct technical due diligence, and collaborate with teams to enhance Mistral's capabilities and market presence.

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

The Head of Computer Vision will lead a team of ML Engineers, drive the long-term ML strategy, focus on breakthrough innovations, and establish cross-functional partnerships while mentoring and scaling the team effectively.

The Data Product Director will define the vision and roadmap for data products, integrating AI capabilities, managing product strategy, and leading a team of Product Owners to ensure timely delivery and quality of products.

Sell Salesforce Agentforce and Data 360 to enterprise customers: identify and qualify opportunities, lead technical discovery, craft POVs, align solutions to business outcomes, collaborate with account teams, and consistently exceed sales targets.

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

As a Senior Data Scientist at Back Market, you'll lead AI projects, develop scalable machine learning models, and mentor peers while enhancing AI adoption across teams.

As a Technical Account Manager, you'll drive customer adoption of AI tools, manage projects, deliver demos, and advocate for user feedback while collaborating across teams to ensure customer success.

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

The Senior Technical Solutions Engineer will manage complex technical escalations, perform root cause analyses, lead incident responses, and develop tools and metrics to enhance support efficiency.

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.

Design and implement multi-modal perception models for radar sensing, ensuring real-time deployment and producing reliable outputs across conditions.

As a Senior Machine Learning Engineer at Doctolib, you will develop AI solutions for healthcare, focusing on information retrieval and algorithm deployment.

As a Machine Learning Scientist at Nucs AI, you will develop innovative ML methods for medical image analysis, collaborate with clinicians, and contribute to clinical validation studies, impacting cancer diagnostics.

Design end-to-end user experiences for cloud and infrastructure products, focusing on usability for developers and AI workflows while collaborating with engineering and product teams.

Lead the development of computer vision models for healthcare robots, optimizing them for edge deployment and managing MLOps pipelines.

The role involves conducting R&D in machine learning, particularly in model training and architecture development. Candidates should have a background in deep learning and experience in hands-on experiments with foundational models.

As a Machine Learning Engineer intern at QRT, you will design evaluation pipelines for LLMs, integrate models, and optimize workflows.

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

As an AI/ML Engineer, develop and optimize models for mobile apps, collaborate with teams, and implement AI techniques to enhance user experience.

Join Quandela's research team to enhance machine learning for calibrating photonic circuits, optimize computational methods, and collaborate on experimental work.