Machine Learning Engineer
Would you like to join the Logistics Company for the World? Have you often wondered how products get from point A to point B? DHL Supply Chain does just that. Become an essential part of everyday life, by contributing to an organization that is Connecting People and Improving Lives. If you have a passion for people, a desire to problem-solve, and eagerness to pursue continuous improvement opportunities... we look forward to exploring career possibilities with you!
Collaborates with business users, architects, data analysts, developers and DevOps engineers to build, train, test, deploy and continuously improve machine learning models.
Establishes scalable, efficient, automated processes for data analyses, model development, validation, and implementation.
Implements end-to-end solutions for batch and real-time algorithms along with requisite tooling around monitoring, logging, automated testing, performance testing, and A/B testing.
Writes efficient and well-organized software to deliver products in an iterative, continual-release environment (Agile/Scrum).
Contributes to and promotes good software engineering practices across the team.
Communicates clearly and effectively to technical and non-technical audiences equally well.
Actively contributes to and re-uses community best practices.
Required Education and Experience
Bachelors or Masters degree in Computer Science and/or Mathematics, required
2+ years of experience building end-to-end machine learning products, from data gathering to model training and tuning, to deploying to production and monitoring performance, required
Extensive experience wrangling, processing, and analyzing data, required
Expert knowledge of standard software engineering methodology (e.g., unit testing, test automation, continuous integration, code reviews, design documentation), required
Thorough knowledge of a variety of relational SQL and NoSQL databases and the object-oriented concept and Python programming language, required
Working knowledge of frameworks/libraries such as Numpy, Pandas, Scikit-learn, Pytorch, Tensorflow, Keras, and XGBoost; Azure cloud platform, especially Azure ML Studio; and distributed systems, service-oriented architectures, and designing APIs; required
Working knowledge of Docker and Kubernetes, preferred
Our Organization has a business casual environment and focuses on teamwork, associate development, training, and continuous improvement. We offer competitive wages, excellent affordable insurance benefits (including health, dental, vision and life), 401K plan, paid vacation and holidays.
Our Organization is an equal opportunity employer.
Address: 360 Westar Blvd Westerville, OH - 43082
Property Description: 9686 - Westerville OH
Property Number: 9686