Top Artificial Intelligence Jobs in Paris
As a Senior Backend and AI Engineer at Aircall, you will design, develop, deploy, and operate AI features that enhance client communication tools. Your responsibilities include mentoring team members, participating in requirements analysis, and implementing innovative AI solutions using diverse back-end technologies primarily hosted on AWS, ensuring high quality and security.
As a Senior Data Scientist in the AI Applied Research team, you will leverage generative AI and machine learning for product features, conduct research, implement deep learning models, and collaborate across teams. You'll lead publications, mentor junior staff, and stay updated on AI advancements.
The Engineering Manager in AI/ML will lead a team of engineers, focusing on product delivery, team development, and research in AI/ML technologies. Responsibilities include managing workflows, planning tasks, and ensuring timely delivery of solutions, while also engaging in architecture and scaling of production ML services.
As a Senior AI Engineer, you will develop and optimize AI-driven solutions for clinical trials, collaborating closely with Product Engineers and business stakeholders to meet healthcare challenges. Your role involves defining requirements, ensuring model performance, and using observability tools.
The Network Systems Engineer at Arista Networks will partner with Account Managers to support pre-sales technical engineering for customers, design network solutions, conduct proof-of-concepts, and provide feedback to product management. They will also represent the company at events and author technology-related content.
The AI Solution Director leads cross-functional teams to apply C3 AI solutions to complex predictive challenges in industries like oil and gas. Responsibilities include driving solution delivery, maintaining client relationships, guiding data science efforts, and improving internal processes. This role combines technical project management, product development, and business development expertise.
As a Senior Data Scientist at Doctolib, you will enhance the AI phone assistant by improving speech-to-text and NLP capabilities. Responsibilities include model architecture development, data collection strategy design, model performance evaluation, and algorithm deployment. You will also engage in continuous refinement for improved user experience.
The Sales Specialist will expand opportunities for Adobe Creative Cloud in enterprise accounts by developing strategies, managing relationships, and collaborating with internal teams. They will focus on closing deals and addressing customer challenges related to digital transformation.
This internship role at Mistral AI involves working with the fine tuning team to develop generative models, design machine learning algorithms, and conduct research on natural language processing advancements. Interns will collaborate with experienced scientists, analyze data, and participate in team discussions to contribute to the field of generative AI.
The AI Scientist Internship at Mistral AI involves working with the fine-tuning team on generative models, conducting research in natural language processing, and assisting in the design and implementation of machine learning models under supervision. Interns will also perform data analysis, document research findings, and collaborate with teams to integrate AI technologies.
The AI Scientist will be responsible for pre-training and fine-tuning large language models, modifying them for human interaction, and aligning them based on deployment feedback. The role requires technical skills in designing software, navigating the MLOps stack, and occasionally performing front-end development.
As a Data Scientist at Younited, you will leverage machine learning and deep learning to enhance lending decision-making models. You will collaborate with a team of experienced professionals to innovate product lines and automate processes, ultimately impacting financial outcomes and customer experiences.
In this role, you will design, develop, and operate AI features that add customer value. You'll participate in requirements analysis, propose innovative AI solutions, write clean scalable code, and mentor team members while improving performance and security of voice solutions at Aircall.
As a Software Engineer at Dataiku, you will enhance features for predictive algorithms, improve user interfaces, and develop AI capabilities. Your tasks include turning product ideas into features, troubleshooting complex issues, mentoring junior developers, and ensuring a user-friendly experience for customers.
As a Digital Data Scientist at Sanofi, you will leverage AI and machine learning to improve drug awareness and support effective prescribing. Your role involves collaborating with business teams, applying data science methods, building models and algorithms, and delivering AI-based data products while managing complex data.
The AI Scientist - Safety will evaluate and enhance safety mechanisms for large language models, identify and mitigate risks and biases, develop monitoring systems for misuse, and collaborate on safety measures with the AI development team. The role focuses on ensuring that AI systems are ethical and beneficial while continuously improving safety practices.
The Staff Software Engineer will design, develop, and implement AI-driven solutions, focusing on AI agents for optimizing supply chain operations. Key responsibilities include rapid prototyping, developing LLM-powered products, maintaining RAG pipelines, and integrating AI solutions into the existing platform while ensuring continuous performance improvement.
The AI Research Engineer will develop and extend technologies in automation and control within AI-based capabilities, working on real-world scenarios. Responsibilities include collaborating with teams, implementing and evaluating AI systems, and delivering solutions for control problems in delivery projects.
As an AI Research Engineer at Helsing, you will develop and extend ML/AI capabilities, designing experiments and benchmarks to evaluate performance in real-world scenarios. Your role involves integrating cutting-edge AI technology into production systems while collaborating across various teams.
As a Deployed AI Engineer, you will integrate cutting-edge AI software into complex systems. You'll collaborate with customer avionics experts to understand data structures and APIs, create adapters to integrate them with cloud infrastructure, discover customer requirements, identify bugs, and facilitate technology demonstrations. You will continuously evolve and operate Helsing software in challenging environments.
The AI Engineer will lead the design and development of deep learning models using high-resolution image data and analytical solutions on a cloud platform, focusing on model performance, data labeling strategies, and integrating these models into an automated pipeline.
As a Senior Data Scientist at Doctolib, you will leverage NLP and AI to develop innovative ML-driven features for healthcare professionals. Your role involves developing, testing, and deploying models, and collaborating with teams to improve product functionalities based on user insights.
In this role at Doctolib, you'll work to develop AI solutions that enhance healthcare delivery, including building a medical assistant powered by LLM. You will leverage your expertise in NLP and deep learning to create models and continuously improve their deployment and performance.
As a Senior Data Scientist at Doctolib, you will develop and implement AI solutions, simplify access to healthcare, deploy algorithms in production, and collaborate with a team to improve patient solutions. You will also measure outcomes to continuously enhance your methods.
The Staff MLOps Engineer at Doctolib will develop, deploy, and maintain machine learning models, ensuring performance and scalability. Responsibilities include implementing MLOps pipelines, collaborating with data scientists, and optimizing model performance while documenting processes and best practices.
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