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Freelance Generative AI Architect - Paris

--France--
Ref. :
005817

We are seeking an experienced Generative AI Architect with over 7 years of expertise to design and develop cutting-edge AI systems for content generation, including text, images, and data. The ideal candidate will have a strong foundation in deep learning, machine learning, and advanced programming skills, with a focus on creating scalable, ethical, and efficient AI solutions.


  • Location: On-site, France
  • Experience: 7+ years
  • Contract Type: Freelance
  • Language: English-speaking profile


Key Responsibilities:

  • Design and develop generative AI systems for content generation across various formats (text, images, data).
  • Build and implement scalable AI architectures tailored to project requirements.
  • Optimize AI models for specific tasks, ensuring performance and efficiency.
  • Collaborate with cross-functional teams (product managers, data scientists, engineers) to integrate AI solutions seamlessly into products and platforms.
  • Monitor and fine-tune AI models for continuous improvement and alignment with business goals.
  • Ensure ethical AI development practices are followed, with transparency and accountability in AI deployments.
  • Stay updated with the latest AI trends, tools, and technologies to drive innovation.
  • Provide technical leadership and mentorship to team members on AI best practices.

 

Required Skills and Experience:

  • Proven experience in designing and deploying generative AI systems.
  • Expertise in deep learning frameworks (e.g., TensorFlow, PyTorch).
  • Strong proficiency in Python programming (or similar languages).
  • Experience with large language models (LLMs) and image generation models.
  • In-depth knowledge of AI model optimization and deployment pipelines.
  • Familiarity with cloud platforms (e.g., AWS, Azure, GCP) for AI solutions.
  • Strong analytical and problem-solving skills.
  • Excellent communication skills in English, both written and verbal.


Preferred Qualifications:

  • Certifications in AI/ML architecture.
  • Experience in AI ethics and responsible AI frameworks.
  • Background in natural language processing (NLP) and computer vision. 
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