Data Scientist I (Computer Vision)
Indexed description
This position works closely with a small AI team and is supported by a technical leader/mentor within the AI & Data Science group.
Essential Roles And Responsibilities
This role supports the development and implementation of computer vision and deep learning models, contributing to internal AI products focused on real-world use cases.
- Assist in designing and implementing computer vision models for detection, segmentation, classification, and visual understanding
- Support data preparation, including cleaning, preprocessing, and exploratory analysis for image and visual data
- Train, evaluate, and tune deep learning models using appropriate performance metrics
- Perform basic error analysis and document findings, tradeoffs, and results
- Collaborate with senior data scientists and engineers on model integration and deployment considerations
- Conduct targeted literature reviews and applied research to support model choices
- Provide regular progress updates and actively participate in technical feedback sessions
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field
- 0–3 years of relevant experience (including internships, academic research, or applied projects)
- Strong foundational knowledge of Computer Vision and Deep Learning
- Hands-on experience with PyTorch or TensorFlow
- Proficiency in Python
- Ability to clearly explain project work, approaches, and results
- Exposure to Vision-Language Models (VLMs) or multimodal systems
- Familiarity with transformer-based vision architectures
- Some exposure to applied or near-production ML workflows
- Interest in building AI products in an evolving, fast-moving environment
- Opportunity to work on a new, high-impact internal AI product
- Strong emphasis on applied computer vision (not dashboards or reporting)
- Mentorship and growth within a focused AI & Data Science team
- Clear path to increased ownership and responsibility
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