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AI Engineer Specializing in Computer Vision

2 months ago


Ogden, Kansas, United States Delvify Full time
Position: Computer Vision ML Engineer

Overview

As a key member of our engineering team, you will collaborate closely with engineers and product managers to develop cutting-edge models that enhance our offerings.

Key Responsibilities
  • Data preparation and pre-processing.
  • Implementing noise reduction techniques for textual data and conducting grammatical checks using regular expressions.
  • Analyzing text data from various datasets and e-commerce catalogs.
  • Training advanced language models.
  • Visualizing analyzed data for reporting purposes.
  • Leading initiatives to expand and develop a team.
Qualifications

We are seeking candidates with:

  • A strong grasp of multiple languages, their applications, and regional nuances.
  • Expertise in discerning subtleties in language.
  • Experience with frameworks such as TensorFlow, Keras, or PyTorch.
  • Hands-on experience in computer vision projects, including image classification, object detection, image segmentation, and mask generation.
  • A solid understanding of machine learning model deployment and optimization.
  • Proficient coding skills in Python, Java, or C++.
  • Adaptability to dynamic environments.
  • The ability to thrive in a fast-paced startup culture.
Benefits
  • Equity participation.
  • Retirement plan.
  • Complimentary office snacks.
  • Recreational activities including games.
Application Process

The selection process includes:

  • Initial phone interview.
  • In-person meeting with the hiring manager.
  • Team-based interview.
  • Final discussion with the CEO.
About Delvify

Delvify is at the forefront of AI tool development, with a strong presence in Hong Kong and a research hub in Singapore. Our team boasts over 30 years of experience in state-of-the-art technologies, including computer vision, natural language processing, audio recognition, eCommerce, and programmatic advertising.

We are committed to fostering a diverse and inclusive workplace, ensuring a safe environment for all employees. Our goal is to build a team that reflects a wide range of backgrounds, perspectives, and skills.