EPAM Systems

EPAM Systems

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28 días
Expira 08/11/2025

Senior AI/Computer Vision Engineer

Senior AI/Computer Vision Engineer

Company Overview

Join our team as a Senior AI/Computer Vision Engineer to develop next-generation AI systems that analyze visual media and deliver hyper-personalized product recommendations.

Role Responsibilities

  • Develop and optimize CNN-based and transformer-based vision models for photo analysis and scoring.
  • Design and prototype custom transformer architectures tailored to product creation needs.
  • Build scalable pipelines for processing large volumes of image data and generating structured metadata.
  • Integrate image intelligence with downstream applications such as search, ranking, and personalization.
  • Develop and deploy transformer-based ML models for personalized product recommendations.
  • Lead experimentation frameworks including A/B testing to improve recommendation relevance and conversion.
  • Operate and document the full ML model development and deployment stack.
  • Collaborate across teams to drive cross-functional technical initiatives from ideation to delivery.
  • Ensure best practices in data management, model evaluation, explainability, and observability.

Requirements

  • 3+ years of experience in AI/ML-focused roles.
  • Deep knowledge of computer vision techniques (CNNs, vision transformers, etc.).
  • Strong experience with recommendation systems and deep learning for personalization.
  • Proficiency in Python and relevant ML libraries such as PyTorch and TensorFlow.
  • Experience deploying ML models at scale using Docker or cloud platforms.
  • Master’s degree in Computer Science or related field preferred.
  • B2 level English proficiency or higher.

Nice to Have

  • Hands-on experience with diffusion models.
  • Experience with graph neural networks (GNNs).
  • Familiarity with reinforcement learning.

What We Offer

  • International projects with top brands.
  • Healthcare benefits and employee financial programs.
  • Paid time off and sick leave.
  • Global career opportunities and access to learning resources.
  • Award-winning culture recognized by Glassdoor, Newsweek, and LinkedIn.