AI Solutions Architect

hace 2 semanas

Barcelona, Barcelona, España Zurich A tiempo completo
AI Solutions Engineer

We are seeking a highly skilled AI Solutions Engineer to join our team at Zurich. The ideal candidate will have extensive experience in machine learning (ML) and Generative AI, focusing on both the strategic and tactical development of AI solutions.

Key Responsibilities:
  • Strategy Development: Collaborate with leadership to shape AI/ML strategy, with a specific focus on Conversational AI applications and opportunities that align with company objectives.
  • Tactical Implementation: Design, build, and deploy AI solutions that drive innovation in product development and operational processes.
  • Technical Expertise: Develop and optimize generative models for real-world applications; implement MLOps practices to ensure scalable deployment.
  • Project Leadership: Lead the end-to-end process of AI projects, from ideation and prototyping to production and monitoring, ensuring integration with existing business systems.
  • Generative AI Product Development: Spearhead the creation and integration of Generative AI models for personalized experiences, content generation, or other innovative use cases in product development.
  • Collaboration: Work closely with data scientists, engineers, and product teams to implement robust generative models, ensuring smooth integration into the product lifecycle.
  • Emerging Technologies: Stay updated with the latest trends in Generative AI, continuously bringing new ideas for AI-driven innovation.
  • Mentorship: Provide guidance and technical mentorship to junior engineers on AI/ML best practices, with a focus on AI technologies.
Requirements:
  • Education: Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field (PhD preferred).
  • Experience: 5+ years of experience in building and deploying machine learning models, with proven experience in Generative AI.
  • Skills: Expertise in Python and ML frameworks, and deep learning architectures for generative models. Proven experience in cloud platforms such as AWS or Azure for AI solution deployment.
  • Preferred Qualifications: Experience in NLP, computer vision, and deploying large language models (LLMs) for content generation. Hands-on experience with fine-tuning LLMs.

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