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- utomate end-to-end ETL/Client pipelines with structural understanding of data products.
- utomate, deploy and maintain Client pipelines into existing cloud resources.
- Work with team members to assist with data-related technical issues and support their data product needs.
- Work with team members to evaluate and improve existing Client system and models.
- background in computer science, engineering, mathematics, or similar quantitative field with a minimum of 2 years professional experience
- Strong Python/Java programming skills
- Experience in implementing data pipelines using python.
- Experience with workflow scheduling / orchestration such as Kubernetes, Airflow or Oozie
- Extract Transform Load (ETL) experience using Spark, Kafka, Hadoop, or similar technologies.
- Experience with query APIs using JSON, Protocol Buffers, or XML
- Experience with Unix-based command line interface and Bash scripts
- Experience with computer vision or natural language processing a plus.
- Database development experience with Relational or MPP/distributed systems such as Oracle/Teradata/Vertica/Hive a plus
- Data visualization or web development skills a plus
- Bachelor's in computer science or engineering; Advanced degree preferred.
Machine Learning Engineer - Austin, United States - Veear
Description
Job Description:We are looking for a Machine Learning Engineer, who has hands-on experience in machine learning system development, Cloud computing, backend development and AI/Client.