
Senior Data Scientist
- Dublin
- Permanent
- Full-time
- Develop, test and implement deep learning and computer vision algorithms for real-time food sorting performance.
- Create predictive models and algorithms for machine reliability, predictive maintenance and anomaly detection.
- Analyse and explore large and complex datasets using data analytics techniques and statistical modelling.
- Collaborate with cross-functional teams to understand business objectives and devise data-driven solutions.
- Utilise and optimise real-time data processing and data visualisation tools.
- Communicate findings and insights to both technical and non-technical stakeholders effectively.
- Implement MLOps practices to build, test and deploy machine learning models.
- Take ownership of full DL model development lifecycle: from data capture at customer site, to deployment and maintenance over time.
- Instruct labelers and oversee data capture activities so that data quality is ensured.
- Experiment with cutting edge AI developments in order to create customer value on our sorters and maintain a competitive advantage over competition.
- Occasional travel to other R&D locations and customer sites for model validation.
- Master's Degree or PhD in Computer Science, Engineering or Mathematics.
- Proficiency with several machine-learning tools, application programming languages and frameworks (Python, Pytorch, TensorRT, Tensorflow…).
- Experience with AzureML, Databricks, AWS or similar and tools like MLFlow.
- Experience with data visualization & labeling tools such as voxel51 & labelstudio or similar.
- Experience with databases (SQL, LakeFS, Azure blob…).
- Bonus is experience with DL inference on edge devices and GPU benchmarking.
- Strong expertise in deep learning, computer vision and data analytics techniques.
- Ability to extract meaningful business insights from data and identify patterns.
- Experience with code revision control (GIT).
- Passion for prototyping new products and solutions with transformative potential.
- Stay updated on emerging AI developments and their potential impact on the food sorting industry.
- Strong communication skills, self-motivated, creative and collaborative.
- Health insurance.
- Pension scheme:
- 2% employee contribution with 4% employer contribution,
- 4% employee contribution with 6% employer contribution,
- 6% employee contribution 8% employer contribution.
- 25 days annual leave.
- Additional long service days.
- International and collaborative working environment.
- Space and support to experiment with new technologies.
- Social events.
- Be part of a mission to transform how we all obtain, use, and reuse the planet’s resources to enable a world without waste.
- Inclusive company culture that values diversity, well-being, and strong camaraderie among our teammates.
- Professional training and development: We are passionate about people and seeing them succeed.
- We love innovation, a collaborative environment where idea sharing and thinking outside the box is encouraged.