Director leading strategy, governance, and delivery of enterprise data platform at Phillips 66. Partnering with AI, Data Science, and business teams to enhance analytics and business systems.
About the role
- Data Engineer managing large datasets for AI models at Walaris. Collaborate with engineers and ensure data quality and processing pipelines.
Responsibilities
- Manage and organize large datasets used for training computer vision AI models
- Collaborate closely with AI and Computer Vision engineers, providing data-related support
- Create and maintain image and video databases
- Build and maintain end-to-end data processing pipelines, from raw data ingestion through annotation and post-processing
- Ensure data quality and implement data tracking and governance practices
- Apply DataOps, DevOps, and MLOps principles to automate workflows, improve reliability, and enable continuous delivery of data assets
Requirements
- Bachelor’s degree in computer science, data science, or a related field
- Experience with databases and database management
- Familiarity with tools such as MinIO, Ceph, Docker, Kubernetes, CVAT, and Roboflow
- Experience with programming languages such as Python
- Proficient in Bash scripting
- Experience working in Linux (particularly Ubuntu) is desired
- Familiarity with computer vision + image and video processing software is preferred
- Strong English skills
Benefits
- Join our mission and become part of an innovative, dynamic team! At Walaris, you’ll play a vital role in saving lives and safeguarding local and national security by harnessing the power of cutting-edge technologies. This is your chance to break new ground and take on meaningful responsibility as you help develop and deploy industry-defining solutions.
- We offer creative freedom, competitive compensation, and a fast-paced, collaborative environment where your ideas and contributions truly matter.
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