Engineer - Deep Learning/AIML

• About MBRDI:

Mercedes-Benz Research and Development India (MBRDI), headquartered in Bengaluru with a satellite office in Pune, is the largest R&D center for Mercedes-Benz Group AG outside of Germany. Our mission is to drive innovation and excellence in automotive engineering, digitalization, and sustainable mobility solutions, shaping the future of mobility.

Job Title

: Engineer – AI/ Deep Learning / Computer Vision

• Location: Bangalore

Role Overview

We are seeking

Algorithm Engineer

with strong skills in

perception-driven algorithm development

to join our Algo Dev team. In this role, you will take ownership of the

end-to-end design and implementation of perception algorithms

contributing directly to our AI production stack to deliver a highly efficient AI solution that powers perception, decision-making, and safety-critical systems in next-generation vehicles.

Key Responsibilities

·  

• Research & Implementation: Benchmark SOTA algorithms in the latest research space & devise novel and compute-efficient perception-based algorithms

·        

• Algorithm Development for production quality: Design and implement robust Computer Vision Algorithms that are robust to diverse scenarios - changing exposure, variable lighting conditions, human articulations etc.

·    

Debug complex issues

, conduct thorough root cause analysis, and ensure the performance, robustness, and reliability of perception algorithms across the AI production stack

·    

Collaborate with cross-functional teams

, distributed globally, to deliver robust and scalable AI algorithms

·     Strong documentation of research work compliant with

AI process standards

– EU AI Act, ASPICE ML Process etc.

 

·      

• Technical Skills:

o   Strong expertise in

Python

and libraries like

OpenCV, SciPy, and PyTorch

o   Know how of

SOTA CNNs, ML/DL Model training using large scale datasets –

both real and artificial datasets

o   Strong understanding of

Camera ISP (Image Signal Processor) pipelines

, including exposure control, gain, and white balance and how IQ parameters and real time environments affect

algorithm performance

·       Know-how of ML processes for algorithm development

 

Preferred Qualifications

·       Experience developing and delivering production grade perception algorithms in Automotive domain

·       Strong in fundaments of Perception/ Computer Vision/ Deep Learning/ VLMs / Gen AI

·       Strong understanding of performance metrics, benchmarking, and error analysis for perception systems

·  Experience in optimizing models for runtime performance, including latency, memory footprint, and deployment constraints on edge/embedded systems

·    Publication Record: Published research in top-tier journals or conferences (e.g., CVPR, ICCV) and/or having filed/granted patents in Automotive domain

·       Experience working with algorithm development with diverse camera modalities – RGB, NIR, FIR, Depth etc.