Data Scientist - Computer Vision

Data Scientist - Computer Vision

Location: Remote / Hybrid / On-site (flexible)

Type: Full-time

Company: Small AI Startup

About the Company

The company is a small, fast-growing AI startup building practical solutions to real-world problems using artificial intelligence and computer vision. The team works closely across disciplines, values experimentation, and focuses on delivering models that perform reliably outside of controlled environments.

The Role

The company is seeking a Data Scientist with a focus on computer vision to work on end-to-end AI solutions. This role involves taking ownership of computer vision problems from early exploration through to production deployment.

The successful candidate will play a key role in shaping both the product and the technical direction of the company, working in a hands-on, fast-paced startup environment.

Key Responsibilities

• Develop, train, and evaluate computer vision models (e.g. image and video classification, object detection, segmentation)
• Work with complex, real-world visual datasets, including data preparation and augmentation
• Experiment with and adapt modern deep learning architectures
• Collaborate closely with engineers and founders to integrate models into production systems
• Iterate quickly based on product requirements and real-world feedback
• Contribute to technical decision-making and best practices within the team

Required Skills and Experience

• Experience in data science, machine learning, or a related role with exposure to computer vision
• Strong programming skills in Python
• Hands-on experience with machine learning and computer vision frameworks (e.g. PyTorch, TensorFlow, OpenCV)
• Solid understanding of machine learning fundamentals
• Ability to work independently in an environment with evolving requirements
• Strong communication skills and the ability to explain technical concepts clearly

Desirable Experience

• Experience deploying machine learning models into production
• Familiarity with cloud platforms, containerisation, or MLOps tooling
• Experience in a startup or small team environment
• Background in video analytics, edge AI, or multi-modal models
• Evidence of practical computer vision work (projects, open-source, publications)

What the Company Offers

• A high-impact role with real ownership and influence
• Exposure to the full lifecycle of AI product development
• A collaborative, low-bureaucracy environment
• Competitive compensation and flexible working arrangements
• Strong opportunities for learning and professional growth