Machine Learning Engineers

Description Key Responsibilities May Include: Collaborate with data scientists to pilot and scale new algorithms, industrializing machine learning solutions across the organization’s data network. Design, develop, and maintain data pipelines and infrastructure necessary for machine learning projects, ensuring smooth integration with external IT systems for end-to-end solutions. Write scalable, maintainable, and future-proof code by leveraging knowledge of software architecture and design patterns. Develop common components to address challenges in machine learning projects, such as model lifecycle management, feature stores, and data quality evaluation. Provide input on tools and frameworks to improve data quality and ensure the integrity of machine learning solutions. Work in agile, cross-functional teams, collaborating with software/machine learning engineers, data scientists, designers, and product managers to build Brambles’ AI ecosystem. Deliver on project timelines, demonstrating a strong commitment to team goals and backlog completion. Stay updated on emerging machine learning trends and continuously develop technical skills to drive innovation and improve project outcomes. Position Purpose Develop computer vision and deep learning applications related to object detection, object segmentation and activity/action detection. Dedicated to delivering Machine Learning projects within the CHEP Supply Chain. Dedicated to driving industry and market exploration into Machine Learning capabilities, assessing, leading feasibility study and applications of how it can be used in CHEP to further enhance our platform inspection capability across all CHEP platforms. Major/Key Accountabilities Lead the ideation, prototyping, and development of AI software. Demonstrate expertise in solving computer vision problems. Develop deep learning and traditional machine learning algorithms for CHEP business. Design and develop scalable software architectures. Demonstrate ongoing understanding of Machine Learning technologies in current marketplace and how they can be applied to the CHEP business. Facilitate design and deployment of vision hardware equipment needed for image data gathering. Create and maintain data pipeline architecture for ML algorithm development. Challenges Utilizing existing hardware and images in addition to new image data gathering techniques to produce innovative image analysis models and algorithms. Development of ML approaches that improve the speed and accuracy of image algorithm development for inspection and quality control methods. Qualifications MS or PhD in Computer Science, Engineering, Mathematics or Statistics, with specialization in computer vision and deep learning. Proficiency in Deep Learning frameworks (Tensorflow, Keras or Pytorch). Proficiency in Python. Proficiency in implementing deep learning architectures for Image classification, Object detection and Object segmentation. Demonstrated experience in scientific research related to Computer vision and Deep learning. Scientific thinking and the ability to invent, implement, and lead technological developments in the field of computer vision and machine learning. Proficiency in CV/ML libraries (OpenCV, Scikit-learn, Numpy, Pandas). Software development experience in multi-threaded applications. Excellent written and spoken communication skills. Experience Minimum 3 years of industrial experience in developing and deploying Computer Vision and Deep Learning applications in Production at scale. Experience in software development (Python), integration with deep learning algorithms and deployment in production. Experience in multi-facility, international organizations desired. Experience in a diverse multi-cultural corporate environment desired. Successful delivery of machine learning applications to internal or external customers. Skills and Knowledge Mandatory: Strong Python programming capabilities. Scientific understanding of popular/state-of-the-art deep learning architectures and computer vision algorithms for object detection and object segmentation. Ability to read scientific publications, understand and implement proposed solutions Self-driven and strong problem-solving skills. Teamwork. Strong analytical skills and process focus. Desirable: Publications in top CV conferences and Journals (CVPR, ICCV, ECCV, NIPS, ICML, PAMI, etc.). Experience with NVIDIA Jetson, ONNX, OpenVINO and TensorRT. Proficiency in Activity Recognition and Object tracking. 3D image algorithms experience. C++ programming capabilities. Ability to work in a Matrix Organization. Languages Required: English Desirable: Spanish Remote Type Hybrid RemoteSkills to succeed in the role Adaptabilité, Apprentissage actif, Apprentissage machine, Bitbucket, Cloud Infrastructure (Aws), Curiosity, Empathie, Git, Infrastructure de données, Initiative, Intelligence émotionnelle, Littératie numérique, Outils SQL, Plateforme Databricks, Python (langage de programmation), Résolution de problème, Révisions de code, Science des données, Travail interfonctionnelWe are an Equal Opportunity Employer, and we are committed to developing a diverse workforce in which everyone is treated fairly, with respect, and has the opportunity to contribute to business success while realizing his or her potential. This means harnessing the unique skills and experience that each individual brings and we do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state, or local protected class. Individuals fraudulently misrepresenting themselves as Brambles or CHEP representatives have scheduled interviews and offered fraudulent employment opportunities with the intent to commit identity theft or solicit money. Brambles and CHEP never conduct interviews via online chat or request money as a term of employment. If you have a question as to the legitimacy of an interview or job offer, please contact us at