Dedicate in helping insurance be more reliable and effective
A team of high-profile entrepreneurs based in Canada and Taiwan
Founded in 2015 and supported by Silicon Valley-based venture capital
【Job Responsibilties】
Conduct routine model retraining and hyper-parameter tuning to optimize machine learning model performance on newly received data.
Design and implementation of user-in-the-loop pipelines for active learning.
Processing, cleansing, and verifying the integrity of data used to train machine learning models.
Be a technical mentor and leader in machine learning best practices to clients and transfer solution-critical knowledge.
Requirements
∙ At least 5 years of experience in enterprise-class software development and delivery. ∙ Experience architecting and designing high-performance server-side components and big data processing pipelines using popular libraries and frameworks. ∙ Experience with Tensorflow (or similar libraries) from GPU training, efficient input pipelines (queues, Dataset API, and the like), to the deployment of packaged/compiled models, and distributed computing (sharding, clusters, etc.) ∙ Experience with resource management service workflow: queue systems (RabbitMQ, Kafka), AWS (RDS, S3), Kubernetes, build systems (Ansible, Terraform, Jenkins, etc.), and Docker. ∙ Experience with Postgres and big data technologies: Cassandra ∙ Experience with developing production code in Python, C/C++. ∙ Masters in Computer Science or a quantitative field and at least one year of industry experience.
7F., No.178, Sec. 1, Keelung Rd., Xinyi Dist., Taipei City 110, Taiwan (R.O.C.)
About us
JobEspresso is Taiwan's first and only technical job-hunting service. After passing JobEspresso’s coding test and technical screening, we will recommend you to world's well known companies from Taiwan, U.S., Singapore, and Japan.