Zealogics Inc

AI/ML Engineer

Zealogics Inc

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Job Level

SeniorLead

Tech Stack

AWSAzureCloudDockerERPGoogle Cloud PlatformIoTKerasPythonPyTorchTensorflow

About the role

  • Develop and implement AI models and GenAI applications to address business challenges in semiconductors, enterprise technology, consumer technology, medical technology and related industries
  • Collaborate with cross-functional teams to gather requirements, design solutions, and deploy models into production environments
  • Create industry-leading points-of-view in the client domains you are working on that ensures our positioning as a value-partner
  • Utilize your expertise in IoT-IIoT/ERP/CRM systems to integrate data sources and ensure seamless operation of AI solutions
  • Design and develop machine learning models using Python, with proficiency in Computer Vision techniques like OpenCV
  • Architect functional solutions and provide technical guidance to enhance the performance and scalability of AI systems
  • Design and implement GenAI based solutions through contextual prompt engineering and prompt tuning and supporting solution architects on the design of GenAI-powered solutions/assets
  • Experience optimizing model hyperparameter tuning for speed and cost
  • Containerize and deploy models using Docker and cloud platforms (Azure/AWS/GCP)

Requirements

  • 7-15 years of hands-on experience in AI/ML and GenAI
  • Prior experience in leading teams that develop data science/GenAI/AI solutions
  • Proven track record of developing AI models in channel analytics, marketing & customer experience, analytics, predictive maintenance, production optimization, and connected products
  • Exposure to IOT/IIoT/ERP/CRM systems and understanding of their integration with AI solutions
  • Proficiency in Python
  • Proficiency in Computer Vision techniques (e.g., OpenCV)
  • Familiarity with deep learning and machine learning frameworks (Keras, TensorFlow, PyTorch)
  • Experience using HuggingFace Transformers and related libraries
  • Experience optimizing model hyperparameter tuning for speed and cost
  • Experience designing and implementing GenAI-based solutions through contextual prompt engineering and prompt tuning
  • Experience with Docker
  • Experience with cloud platforms (preferably Azure/AWS; familiarity with GCP)
  • Excellent communication, customer service, and problem-solving skills
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