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Capgemini Government Solutions | Computer Vision Software Engineer CA
Capgemini Government Solutionssan francisco, CA, United StatesComputer Vision Engineer
KargoSan Francisco, CAAt Kargo, our mission is to build a connective tissue between the physical world of freight and the digital ecosystem used to manage it. We believe that advancements in smart infrastructure are critical to enabling a safer and more efficient future for logistics. Our loading dock sensor platform verifies all incoming and outgoing freight, aggregating data that enables shippers and carriers to efficiently manage dock operations, switch out suppliers and understand material flow in real time.
We care deeply about delivering the best solutions for our customers. As a member of the Kargo team, you will have the opportunity to develop and deploy tomorrow's hardware & software solutions and help revolutionize logistics.
As a CV / ML Engineer at Kargo, you will be a technical contributor on the engineering team with deep expertise in building and deploying scalable machine learning. You will work closely with our hardware and software engineering teams to build and deploy powerful computer vision features for our customers.
Responsibilities
- Build CV / ML algorithms for various tasks around vision, including training and optimizing CV / ML models.
- Build the backend or edge infrastructure to scale our training and inference workload, including training pipelines, evaluation, and model deployment.
- Design and collect datasets, and train models. Convert data to models and drive specs for data.
Experience
Kargo is an equal opportunity / affirmative action employer committed to an inclusive and diverse workplace. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.