Top Machine Learning Jobs in Lille

The Customer Success Engineer will act as a technical expert and advisor, ensuring customers adopt Deepgram's voice technologies effectively, manage customer relationships, conduct demos, and drive growth opportunities.

The Senior Director, Data Platforms and Engineering will lead the strategy and execution of Pfizer's data engineering and platform initiatives, overseeing teams to drive innovation in data management and analytics. The role involves collaboration with internal and external stakeholders, scaling robust platforms, and fostering a culture of technical excellence and continuous improvement.

Join Welo Data as part of a global community focusing on data annotation and enhancing AI models with diverse linguistic expertise.

The EMEA Sales Leader will drive the company's expansion in the region, establish sales pipelines, develop partnerships, and oversee the sales team.

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.

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.

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

The role involves designing and implementing machine learning solutions, managing projects from idea to deployment, and optimizing models using AWS and Docker.

The Senior ML Engineer will develop and deploy ML features for a CRM platform, collaborating with users and product teams, while enhancing ML capabilities and ensuring performance.

Lead the development and enhancement of LLM-powered products, collaborating with cross-functional teams to create innovative AI-driven solutions.

Seeking a seasoned data scientist to advance methodologies for cardiovascular health assessment, collaborating with medical experts and algorithmic team.

Responsible for developing backend AI features, integrating machine learning models, building data pipelines, and maintaining AI services within a retail ecosystem.

As a Senior Research Engineer, you will work on applying generative AI models for video production and improving model performance in avatar rendering, utilizing your expertise in post-training techniques.

As a Solutions Architect at NVIDIA, you will provide technical guidance, develop AI solutions for financial services, and support stakeholders.

Drive independent, high-impact research on frontier AI topics, publish findings, collaborate widely, and mentor new researchers in the field.

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

As a Senior Research Engineer, you will manage data lifecycle for researchers, build a human-centric data lake, and enhance model performance through high-quality datasets in an AI-driven environment.

The Senior Quality Operations Engineer will manage quality systems, ensure compliance with regulations, oversee audits, and optimize workflows in medical technology.

The AI Solutions Engineer will collaborate with sales teams to address client needs, provide technical solutions, and support integration while showcasing Gladia's speech AI tools.

As a Data Science Graduate Student Intern, you will research solutions to scientific problems, collaborate with academia, and deploy findings in production with engineers.

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

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.

Responsible for developing AI/ML solutions in cloud-based environments, optimizing pipelines, integrating ML models, and mentoring junior staff.

Lead a team of engineers in developing AI capabilities, managing projects and ensuring high-quality work while fostering a positive culture.