Top Machine Learning Jobs in Paris

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.

As a Data Scientist Intern, you will set up data pipelines, collaborate with clients, conduct R&D in AI, and support sales demos, all while working with diverse data types.

The internship involves onboarding, participating in reconciliation projects, analyzing trade data, validating tools, and researching advanced technologies to enhance financial data reconciliation workflows.

As a Senior Product Data Scientist, you will support product decisions using data insights, conduct analysis, design experiments and mentor team members in a collaborative Agile environment.

The role involves implementing complex components, designing subsystems, documenting code, and collaborating with teams on trading system designs. Proficiency in C++ and other programming languages is required, alongside strong problem-solving skills.

The Data Scientist will develop AI solutions, apply machine learning and data analytics to solve health-related problems, and collaborate with various teams to deliver production-ready models.

The Product Manager will lead the Market Intelligence team to translate digital asset data into actionable insights, drive product strategy, conduct market studies, and enhance Keyrock's services based on data-driven recommendations.

The Senior Data Scientist will improve ML models, build scalable systems, and collaborate with teams to optimize ad performance while engaging in state-of-the-art ML discussions.

The Senior Data Product Manager will own product vision and strategy, coordinate releases, gather user feedback, and collaborate on predictive projects, mainly focusing on machine learning and data-driven solutions for growth operations.

As a Solution Seller in AI, you will drive new sales in target accounts, conducting consultative discussions to showcase IFS AI solutions, and develop complex enterprise deals exceeding $500k ACV in value.

The role involves scaling marketing functions, defining positioning, executing GTM strategies, managing marketing funnels, and creating impactful content for different personas in a cross-functional environment.

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

The Data Scientist will develop and implement advanced analytics and AI solutions for R&D and Medical functions, focusing on patient data analysis, machine learning, and collaborative evidence generation.

As a Solutions Architect at Pathway, you will design and deploy AI models for enterprise customers, bridge sales and technical teams, and contribute to scalable solutions.

Lead the ML privacy vertical, developing algorithms to prevent data leakage, conducting evaluations, and collaborating with engineers to deliver applications.

The VP of Engineering will lead the technical roadmap for Le Chat, drive product innovations, and manage a team of 30 engineers.

Manage a portfolio of customers, ensuring they maximize value from Sardine's fraud prevention and compliance products while collaborating with internal teams and analyzing performance metrics.

Lead engineering projects in data acquisition, curate multimodal datasets, develop scalable data pipelines, and conduct experiments for insights in AI.

As an Actuarial Data Scientist, you will develop pricing and risk models using machine learning, enhance pricing accuracy, and mentor junior team members.

As an Applied Scientist/Research Engineer, you will develop telemetry-native security agents, conduct large-scale experiments, and communicate with client teams on security and observability solutions.

As a Senior Data Scientist at Chaos Labs, you'll enhance modeling capabilities and deliver insights for decentralized finance, collaborating with engineering and product teams.

As a Software Engineer Intern, you will build features for user-facing products, design data pipelines, implement scalable services, and contribute to technical documentation while being part of a collaborative team.

The Actuarial Data Scientist will leverage advanced machine learning and data insights to enhance insurance pricing and reserving processes, collaborating with various teams and engaging directly with clients to implement and demonstrate modeling solutions.

The Product Owner will manage the Construct backlog, ensuring high-quality feature delivery and coordination across cross-functional teams while adhering to Agile methodologies.

Investigate sophisticated attack chains across cloud environments, analyze cyber threats, and provide insights to enhance cybersecurity solutions.