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ADAS MLData Analytics

Job Location:

Bengaluru - India

Monthly Salary: Not provided by the employer

Posted: 11 August 2026 (19 hours ago)

Application Deadline: 8 November 2026

Vacancies: 1 Vacancy

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.