AI Solutions Architect

2 weeks ago


San Jose, California, United States Zealogics Full time
Position Overview

Role Summary: As an AI Solutions Architect at Zealogics, you will be responsible for spearheading the development and implementation of advanced AI models and Generative AI applications tailored to solve intricate business challenges across various sectors including semiconductors, enterprise technology, consumer technology, and medical technology.

Key Responsibilities:

  • Lead the design and execution of AI models and Generative AI applications to tackle business challenges across diverse industries.
  • Engage with multidisciplinary teams to collect requirements, devise innovative solutions, and facilitate the deployment of models in live environments.
  • Establish industry-leading perspectives in the client sectors you are involved with, reinforcing our role as a trusted partner.
  • Leverage your expertise in IoT, IIoT, ERP, and CRM systems to integrate various data sources, ensuring the smooth operation of AI solutions.
  • Design and construct machine learning models utilizing Python, demonstrating proficiency in Computer Vision methodologies such as OpenCV.
  • Architect effective solutions and provide technical leadership to improve the performance and scalability of AI systems.
  • Possess familiarity with deep learning and machine learning frameworks, including Keras, TensorFlow, or PyTorch.
  • Utilize HuggingFace Transformers and associated libraries in your projects.
  • Optimize model hyperparameters for enhanced speed and cost efficiency.
  • Design and implement Generative AI solutions through contextual prompt engineering and prompt tuning, while assisting solution architects in the development of Generative AI-powered solutions and assets.
  • Demonstrate experience with containerization technologies such as Docker.

Qualifications:

  • 7-15 years of practical experience in AI, Machine Learning, and Generative AI.
  • Previous experience in leading teams focused on developing data science, Generative AI, and AI solutions.
  • A proven history of creating AI models in domains such as channel analytics, marketing and customer experience, predictive maintenance, production optimization, and connected products.
  • Exposure to IoT, ERP, and CRM systems with a solid understanding of their integration with AI solutions.
  • Experience with cloud platforms, preferably Azure or AWS, and familiarity with Google Cloud Platform.
  • Strong communication, customer service, and problem-solving abilities.

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