ADAS ML/Data Analytics

Responsibilities:

• Developing and maintaining data analytics, infrastructure and pipeline for ADAS related sensor data.
• Setting up data analytics and pipelines to determine anomalies and KPI violations in the ADAS functions.
• Ownership of tool chain and technology stack.
• Alignment of requirements, changes, maintenance with customers and internal developers.

Must have Experience:

• Deep Expertise in programming Python and optionally Java/C++.
• Experience in using ML approaches such as LLMs, deep learning for data analytics as well as related implementation technologies e.g. TensorFlow, Keras, PyTorch.
• Querry languages such as KQL, SQL.
• Fundamental understanding and experience with data structures and algorithms.
• Experience in working cloud infrastructure and technologies based on AWS and/or AZURE.
• Experience with Board net technologies such as Ethernet, SomeIP, CAN will be advantageous.
• Experience in the ADAS domain preferred.
• Experience with DevOps.
• Beneficial: Any experience with Bazel/CI.
• Experience with automotive Diagnostic Log and Trace (DLT) and Automotive Diagnosis.
• Ability to work independently and take corresponding decisions.