Engineer - Deep Learning/AI

Daimler Trucks North America LLC; Bengaluru; On-site; INR 1,500,000 - 3,500,000; Full time

Job summary

Mercedes-Benz Research and Development India Private Limited in Bengaluru (Karnataka) is seeking an Engineer – AI/ Deep Learning / Computer Vision to lead end-to-end design of perception algorithms for our AI production stack. You will own perception-driven algorithm development contributing to safety-critical systems in next-generation vehicles.

The role requires 1–2+ years in computer vision, strong Python, OpenCV, SciPy and PyTorch skills, and experience with CNNs and Camera ISP pipelines.

Qualifications

• Bachelor’s or Master’s in Computer Vision/Computer Science or related field.
• 1–2+ years of experience in developing Computer Vision algorithms for production-grade scenarios.
• Proficiency in Python and libraries OpenCV, SciPy, and PyTorch.
• Experience with SOTA CNNs and ML/DL model training on large-scale datasets (real and synthetic).
• Understanding of Camera ISP pipelines and how IQ parameters affect algorithm performance.
• Familiarity with ML processes for algorithm development.

Responsibilities

• Research and implement state-of-the-art perception algorithms and benchmarks for production use.
• Develop production-grade computer vision algorithms robust to diverse real-world conditions.
• Debug complex issues and ensure performance, robustness, and reliability across the AI stack.
• Collaborate with cross-functional teams across the globe to deliver scalable AI algorithms.
• Document research work in line with AI process standards (EU AI Act, ASPICE ML).

Education

Bachelor’s or Master’s in Computer Vision/Computer Science

Tools

Python

OpenCV

SciPy

PyTorch

Job description

Job Description - Engineer - Deep Learning/AI (MER00043FS)

Description

Job Title: Engineer – AI/ Deep Learning /Computer Vision

Level: T9 (Research Engineer)

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.

Minimum Qualifications

• Education: Bachelor’s or Master’s in Computer Vision/Computer Science or related fields


• Core Experience: 1-2+ years of experience in developing Computer Vision algorithms, specifically focusing on real production grade scenarios


• Technical Skills:
  
  
  
  • Strong expertise in Python and libraries like OpenCV, SciPy, and PyTorch
  
  
  • Know how of SOTA CNNs, ML/DL Model training using large scale datasets – both real and artificial datasets
  
  
  • 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.

Organization

Mercedes-Benz Research and Development India Private Limited

Primary Location

India-Karnataka-Bangalore

Work Locations

Brigade Tech Gardens, Katha No. 119 Brigade Tech Gardens, Katha No. 119 Kundalahalli Village, K.R. Puram Hobli, Ward No. 85 Bangalore 560037