Job Summary
See.Sense is an award-winning cycling technology and data company working to make cycling safer and cities smarter. See.Sense creates award-winning bike lights which give cyclists more visibility on their ride, and cities more information on their roads.
Job Description
See.Sense are seeking an AI/ML Engineer to join our team in developing cutting-edge AI/ML solutions to enhance data analysis for urban infrastructure planning. The ideal candidate will have a background in artificial intelligence and machine learning, with a focus on designing and implementing algorithms to process large datasets and extract valuable insights for our clients. You will work as part of the See.Sense team to develop and deploy AI/ML models, ensuring consistent, efficient, and scalable data analysis solutions.
Key Responsibilities include:
- Collaborating with cross-functional teams and key stakeholders to understand project requirements and define AI/ML solutions to address data analysis challenges.
- Designing, developing, and implementing AI/ML models to process and analyse large datasets from micro-mobility sensors.
- Evaluating and refining AI/ML models to ensure accuracy, consistency, and efficiency in data analysis.
- Integrating AI/ML solutions into existing data analysis workflows, enabling automation and scalability.
- Continuously researching advancements in AI/ML technologies to identify opportunities for further innovation and improvement.
- Communicating complex AI/ML concepts to non-technical team members and clients in a clear and concise manner.
The successful graduate will lead
this project, in a supportive partnership with TUS (Midlands Campus) and will also have the opportunity to avail of a Post Graduate Diploma with Queen’s University Belfast as part of the employment offering.
Benefits:
- Pension
- Private healthcare
- Discretionary performance bonus
- Discretionary performance share option scheme
- Fully funded Post Graduate Diploma awarded by Queen’s University Belfast
Interviews will be held approximately week commencing: 07/10/2024