Develop and refine CNN and transformer-based vision algorithms for image analysis and scoring

Create and implement specialized transformer frameworks for product innovation

Construct reliable pipelines to process large-scale image datasets and generate organized metadata

Incorporate visual intelligence into functionalities such as search, ranking, and personalization

Deploy transformer-driven models to deliver customized product suggestions

Lead experimentation including A/B testing to enhance recommendation performance and conversion metrics

Oversee and document the entire ML model lifecycle from design to deployment

Coordinate with multidisciplinary teams to direct technical projects from ideation to completion

Maintain compliance with best practices in data management, model validation, explainability, and system monitoring

Extensive software engineering background with more than 7 years in AI/ML specialties

Expertise in computer vision techniques including CNNs, vision transformers, facial recognition, object detection, image classification, and embeddings

Strong experience in recommendation algorithms, collaborative filtering, deep learning personalization, and transformer-based methods

Proficiency in Python alongside ML frameworks like PyTorch and TensorFlow

Experience in scaling machine learning solutions using Docker, AWS, GCP, or similar services

Proven leadership in managing cross-functional technical initiatives from start to finish

Thorough knowledge of ML lifecycle best practices covering data handling, model evaluation, explainability, and observability

Master’s degree in Computer Science or related field with emphasis on mathematics or physics

English proficiency at B2 level or higher

Hands-on experience with diffusion models

Familiarity with graph neural networks (GNNs)

Understanding of reinforcement learning principles