Top Machine Learning Jobs in Paris

Design and implement infrastructure for ML/deep learning models, ensuring scalability, reproducibility, and performance across the drug discovery lifecycle.

Develop and implement AI solutions to support healthcare professionals, focusing on improving AI models for medical assistance and data structuring.

The Senior ML Engineer will enhance fine-tuning methodologies, research inference optimization techniques, and re-implement LLM architectures focusing on distributed training and efficiency.

Lead the development of machine learning infrastructure for cybersecurity, driving production ML systems from experimentation to deployment, while mentoring junior engineers.

As a Machine Learning Ops Intern, you will design and implement scalable real-time speech infrastructure, standardize initiatives, and lead MLOps projects. Responsibilities include developing fault-tolerant components, setting up model serving, and benchmarking system performance.

As a Machine Learning Research Intern, you will develop ML models to tackle healthcare challenges, collaborate with engineers, and explore data processing techniques. The role emphasizes ethical AI solutions to improve patient access and healthcare efficiency.

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

Develop machine learning algorithms for personalized user experiences in music recommendations, collaborating with teams to enhance the recommendation engine.

The Senior AI/ML Engineer at Nansen will develop AI models for blockchain data analysis, collaborating with teams to enhance platform capabilities and mentor junior engineers.

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.

The role involves building machine learning solutions using Hugging Face technologies on cloud platforms, ensuring model performance, and enhancing developer experiences through documentation and community engagement.

The Senior MLOps Engineer will manage MLOps infrastructure, support AI/ML workloads, and ensure compliance with security standards while collaborating with clients.

The ML Engineer will enhance NLP projects by fine-tuning LLMs, implementing models, conducting experiments, and staying updated on advancements in NLP.

Research and develop AI/ML models for handwriting recognition and related technologies, collaborating with a multidisciplinary team to deliver innovative features.

The role involves open-sourcing models and maintaining libraries, optimizing performance, and collaborating with the open-source community. Requires expertise in machine learning and strong programming skills.

As a Senior Software Engineer, you'll create advanced AI systems to improve developer productivity, integrate existing tools, and mentor junior engineers.

As a Machine Learning Engineer, you'll design and deploy ML models, optimize performance, and maintain code quality. You'll also work on GenAI solutions for user inquiries and improve ML practices with team collaboration.

The Robotics ML Engineer will build AI-first robotics projects and data pipelines, create educational content, and interact with customers to improve projects at Rerun.

The role involves building and iterating machine learning models, collaborating with stakeholders to address Trust & Safety issues, deploying models in production, and improving team performance through knowledge sharing and documentation.

The Machine Learning Platform Engineer will manage cloud infrastructure, support AI researchers, and deploy models in production, focusing on MLOps and CI/CD practices.

Design and deploy LLM applications, lead architecture and optimization efforts, collaborate with teams, and make significant impacts at Deel.

Lead a team developing AI solutions focusing on computer vision and generative AI, integrating ML into production workflows, and ensuring ethical practices.

The internship focuses on enhancing quantitative and programming skills with training in areas like machine learning, statistics, and developing predictive models for trading.