Wir verwenden Cookies, um unsere Website und unseren Service zu optimieren.
FunktionalImmer aktiv
Notwendige Cookies helfen dabei, eine Webseite nutzbar zu machen, indem sie Grundfunktionen wie Seitennavigation und Zugriff auf sichere Bereiche der Webseite ermöglichen. Die Webseite kann ohne diese Cookies nicht richtig funktionieren.
Statistiken
ClickCease
Der Anbieter des Webtools analysiert Ihre Browserdaten nach auffälligem Verhalten in Bezug auf Klickbetrug, also die Häufigkeit von Werbeaufrufen einer IP.
Marketing
Google AdSense
Cookie von Google, das für Ad-Targeting und Anzeigenmessung verwendet wird.
At Yoffix, we’re transforming the hybrid workplace with innovative solutions that empower teams to work smarter and collaborate seamlessly. Our latest breakthrough, Eva—the AI-powered workplace assistant—optimizes meeting planning, streamlines workflows, and fosters productivity. We are a dynamic, fast-growing company, and we’re looking for a talented AI Engineer to join our team and help shape the future of work.
As an AI Engineer at Yoffix, you will play a key role in designing, developing, and deploying AI-powered features that enhance workplace efficiency. You’ll work closely with our product and engineering teams to bring Eva’s capabilities to life, ensuring they meet the needs of our global customers.
Tasks
Develop and optimize machine learning models to enhance Eva’s reasoning and decision-making capabilities.
Design AI algorithms for meeting optimization, scheduling, and analytics.
Collaborate with the engineering team to integrate AI solutions into the Yoffix platform.
Analyze and process large datasets to train and improve AI performance.
Continuously evaluate and improve AI systems based on user feedback and performance metrics.Stay updated on the latest advancements in AI and generative models to incorporate into our product.
Requirements
Strong experience in AI/ML development, including deep learning frameworks (e.g., TensorFlow, PyTorch).
Proficiency in Python and experience with AI libraries and tools.
Familiarity with natural language processing (NLP) and large language models (LLMs).
Experience in designing, training, and deploying machine learning models at scale.
Knowledge of cloud platforms (e.g., AWS, Azure, GCP) for AI model deployment.
Passion for solving complex problems and creating innovative solutions.
Excellent communication and teamwork skills.
Benefits
A chance to work on cutting-edge AI technology with real-world applications.
A flexible, remote-friendly work environment.
Competitive salary and benefits package.
A collaborative and inclusive team culture.
Opportunities for professional growth and learning.