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Position summary
Autonomous Driving Data Management Tech Lead - Managed AI
We are seeking a highly skilled Data Management Engineer with experience in the autonomous driving industry to join our team. The ideal candidate will have a strong background in data management, analytics, and data pipeline development, as well as a solid understanding of machine learning and artificial intelligence. The candidate will be able to design, implement and maintain data management systems for our autonomous driving systems.
Responsibilities:
Design, implement, and maintain data management systems for autonomous driving systems, with a focus on utilizing ML and AI techniques
Collect, process, and store large amounts of sensor data, including lidar, radar, and cameras
Create and maintain data pipelines for data collection, processing, and storage
Collaborate with development and research teams to ensure smooth data flow and integration with other systems
Continuously improve data management systems through monitoring, performance tuning and cost optimization
Ensure compliance with security and regulatory requirements
Troubleshoot and resolve issues related to data management and pipeline
Provide technical guidance and support to other teams
Qualifications:
6+ years' strong experience with data management, including data warehousing and data pipelines
6+ years' strong experience with data analytics and visualization tools
6+ years' experience with big data technologies such as Hadoop, Spark, and Hive
6+ years' experience with SQL and NoSQL databases
6+ years' experience with programming languages such as Python, Java, and Scala
6+ years' experience with cloud-based data management solutions, such as AWS Glue, Redshift, and S3
Bachelor's degree in Computer Science, Engineering or related field
Ability to travel up to 30%, on average, based on the work you do and the clients and industries/sectors you serve
Limited immigration sponsorship may be available.
Preference will be given to candidates with:
- Strong understanding of security best practices and compliance requirements
- Experience with autonomous driving systems is a plus
- Strong communication and collaboration skills
- Strong understanding of machine learning and artificial intelligence techniques
- Experience with popular machine learning frameworks such as TensorFlow, PyTorch and scikit-learn
- Experience with distributed computing and deep learning technologies such as Apache MXNet, CUDA and cuDNN.
AIDO23
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