Data Scientist, Computer Vision

About the Opportunity:

The organization is focused on verifying identities in real time and preventing identity fraud online using advanced machine learning and predictive analytics. This team is hiring a Data Scientist specializing in computer vision and deep learning to develop and optimize production-level models.

Responsibilities:

• Design and develop machine learning models for computer vision tasks such as image classification, object detection, or segmentation.

• Experiment with transformer-based architectures including ViT, DETR, and CLIP, and explore integration of LLMs in vision or multimodal applications.

• Collaborate with senior scientists and engineers on end-to-end model pipelines, from data preprocessing to deployment.

• Analyze large datasets and apply best practices in feature engineering, model tuning, and performance evaluation.

• Write production-quality, well-documented code and contribute to shared ML infrastructure and tools.

• Research and implement new ideas and methods through experimentation and innovation.

Requirements:

• Bachelor’s degree in Computer Science, Engineering, Data Science, or related field with 2–5 years of experience, or Master’s degree with relevant academic or internship work.

• Proficiency in Python and experience with ML frameworks such as PyTorch, TensorFlow, or scikit-learn.

• Experience with deep learning models (especially CNNs) and familiarity with transformer models in computer vision.

• Strong understanding of supervised learning, model evaluation, and ML concepts like overfitting, regularization, and transfer learning.

• Experience with version control, experimentation tracking, and reproducible ML pipelines.

• Familiarity with cloud platforms (e.g., AWS, GCP) and containerization (e.g., Docker) is a plus.

• Strong communication skills and ability to work collaboratively in cross-functional teams.

Benefits & Perks:

• Equal opportunity and inclusive workplace.

• Accommodation available during hiring and onboarding process.

Note:

“RemoteHunter is not the Employer of Record (EOR) for this role. Our purpose in this opportunity is to connect exceptional candidates with leading employers. We help job seekers worldwide discover roles that match their goals and guide them to complete their full application directly through the hiring company’s career page or ATS.”