SeeChange is a dynamic startup revolutionizing Vision AI technology. With a team boasting over 436 years of combined expertise and €45 million in platform investment, they’ve secured 15 patents (and counting). Their mission is to empower people through technology by integrating Vision AI into existing systems, enabling customers to see what's important and change outcomes.

The Role:

As a Solutions Engineer you will play a key role in projects and be responsible for the design of solutions to various real-world problems. The solutions team’s purpose is to take a complicated requirement, determine what AI is required to solve it, specify the models required, and produce the overall solution that solves the problem. Most importantly this needs to work in a customer environment, not just on paper or in a demo or a lab environment. The role of a solutions engineer is to take the basic AI model output and put it to use to solve real world problems by taking the inference and adding additional processing to provide the output to solve the problem at hand. An example would be to detect a person, and an object they are interacting with and determine that the interaction satisfies some criteria. Based on this, a subsequent event or alert would be triggered. We have dedicated people in the
team that would develop any ML models that are required, so an expert level of Machine Learning is not essential, but a good understanding of what a model does, and how to run inference and interpret the results is an advantage.

Key Responsibilities:

• Work with the product team to understand the requirements for a new use case and work out suitable solutions to the problem.

• Work with the models
  part of the team to specify what new or changed ML models are required to provide the foundation of the solution

• Build on top of the developing model, additional logic to interpret, combine or otherwise enhance the information provided to the model

• Test out the overall end to end solution to ensure it successfully solves the problem, and work to deploy it in a real-life customer environment

Qualifications:

Essential

• Strong software engineering and programming skills in Python and ideally in an ML/CV environment (Numpy, OpenCV)

• Experience with CI/CD systems, with a test-driven development approach

• In-depth knowledge of Linux operating systems

• Strong communication skills, both written and oral and a positive and enthusiastic attitude.

• A strong customer and real-world focus and a desire to see their solutions working in a production environment.

Desirable

• A good understanding of Machine Learning and Deep Learning concepts, different model types and how to run inference on them. These are principally computer vision models.

• Experience with Deep Learning frameworks such as PyTorch, TensorFlow, or OpenVino

• Knowledge of GPU acceleration and optimisation

Why Join Us?

• Be part of a passionate, talented team in a collaborative environment.

• Work on innovative projects that make a global impact.

• Opportunities for continuous learning and professional growth.

• Competitive salary and benefits package.

• Enjoy work model that balances flexibility with team interaction.