Data Scientist - II - Remote

Overview

This is a high-impact role for a data scientist with experience in computer vision and deep learning, working with a cutting-edge AI/ML team to design and optimize models for identity verification and fraud prevention systems.

In Short

• Build and refine machine learning models for computer vision use cases.
• Experiment with modern architectures like ViT, CLIP, and transformers.
• Contribute to full ML pipelines including preprocessing and deployment.
• Analyze large datasets and conduct performance evaluations.
• Write clean, production-level code for shared ML tooling.
• Collaborate with engineers and senior scientists.
• Keep pace with academic and industry research.
• Drive innovation across the team.
• Work hands-on with CNNs and multimodal architectures.
• Tackle meaningful machine learning challenges.

Requirements

• Experience in data science, particularly in computer vision.
• Proficiency in machine learning and deep learning techniques.
• Strong programming skills, preferably in Python.
• Familiarity with ML frameworks and libraries.
• Ability to analyze and interpret large datasets.
• Experience with model deployment in production environments.
• Strong problem-solving skills and attention to detail.
• Ability to work collaboratively in a team environment.
• Continuous learner, staying updated with industry trends.
• Excellent communication skills.

Benefits

• Opportunity to work on impactful projects.
• Collaborative and innovative work environment.
• Access to the latest technologies and methodologies.
• Professional growth and development opportunities.
• Flexible working conditions.
• Competitive salary and benefits package.
• Supportive team culture.
• Work with top talent in the field.
• Engagement in meaningful machine learning challenges.
• Chance to influence AI-driven solutions.