ADAS ML/Data Analytics

BMW TechWorks India Private Limited; India; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

BMW TechWorks India Private Limited seeks a data analytics engineer to develop and maintain data pipelines for ADAS sensor data, enabling anomaly detection and KPI monitoring.

You will own the toolchain and technology stack, align requirements with customers and internal developers, and apply ML approaches using TensorFlow, PyTorch or Keras, with SQL/KQL on cloud platforms such as AWS or Azure; knowledge of CAN, SOME/IP and Ethernet is a plus, and DevOps practices are beneficial.

Qualifications

• Strong programming experience in Python; Java/C++ a plus.
• Proficiency with ML methods and frameworks (TensorFlow, PyTorch, Keras).
• SQL/KQL query skills for data retrieval and analysis.
• Fundamental understanding of data structures and algorithms.
• Experience with cloud infrastructure (AWS/Azure).
• Familiarity with automotive communication technologies (CAN, SOME/IP, Ethernet).
• Experience in DevOps practices is beneficial.

Responsibilities

• Develop and maintain 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.

Skills

Python

Java

C++

TensorFlow

PyTorch

Keras

SQL

KQL

Cloud platforms (AWS / Azure)

DevOps

CAN

SOME/IP

Ethernet

ADAS domain knowledge

Job description

• 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.