Embedded IA Engineer

IDEMIA
  • Courbevoie
  • Post Date: October 6, 2024
    • 14168
  • Applications 0
  • Views 3
Job Overview

logoJob description: IDEMIA’s Presentation (company & activity) – Who are we? Since our founding, IDEMIA has been on a mission to unlock the world and make it safer through our cutting-edge identity technologies. Our technology leadership makes us the partner of choice for hundreds of governments and thousands of enterprises in over 180 countries, including some of the biggest and most influential brands in the world. In applying our unique expertise in biometrics and cryptography, we enable our clients to unlock simpler and safer ways to pay, connect, access, identify, travel and protect public places – at scale and in total security. Our teams work from 5 continents and speak 100+ different languages. We strongly believe that our diversity is a key driver of innovation and performance. Purpose We are seeking a skilled AI Engineer to join our team and lead the development of innovative AI solutions for our connectivity and payment products. Your expertise in generative models, deep learning, and data analysis will be critical in creating intelligent and transformative AI applications for our embedded development.You will work closely with cross-functional teams to conceptualize, design, test, and deploy AI projects that drive innovation and provide value in the rapidly evolving field of connectivity and payments. Key Missions Design and develop algorithms for models using deep learning techniques.- Design and develop solutions that use AI, built on Machine Learning (ML) and Large Language Models (LLM), tailored to business need.- Fine-tune AI models using the most efficient algorithms, focusing on delivering optimal outcomes.- Collaborate with cross-functional teams to integrate AI solutions into existing workflow systems.- Troubleshoot and resolve issues related to AI models and implementations.- Create and maintain documentation for AI models and their applications.- Communicate complex technical concepts and findings to non-technical stakeholders.- Implement a “think outside the box” mindset with our technical teams, allowing you to add new features to our final products or solutions.- Be proactive in every way where AI could improve our processes and our products.- Maintain high communication with the teams around you to explain how AI could improve, change, and transform their work. Profile & Other Information Master’s degree in computer science, Data Science, Machine Learning, or a related field with a strong focus on Artificial Intelligence Preferably acquiring AI Professional Certification, Deep Gen AI Certification or equivalent. Experience in designing and implementing AI models. Highly qualified in programming AI related languages like Python and other AI frameworks. Highly understands deep learning architecture, machine learning, NLP and generative models. Proficiency in Python, experience in deep learning platform such as TensorFlow and PyTorch for developing AI models. Experience in generative AI techniques such as GANs and VAEs. Ability to design and implement scalable and efficient AI systems. Exposure to different GPT models Strong understanding of neural network architectures and optimization techniques. Experience in deploying AI models into production environments. Research and stay up to date on the latest advancements in AI technologies and methodologies. – Ability to collaborates and be a team player.- Analytical mindset and problem-solving skills.- Curiosity & proactive (eager to reuse what is existing)- Ability to learn and adopt technologies quickly.

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