MBRDI

Automotive

AIEngineer

₹18–30L ~AI est. Bangalore, Karnataka, India FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“AI Engineer at MBRDI. Skills: AI/ML models, Deep Learning, Computer Vision, Sensor Fusion. Lead design of AI/ML models. Develop AI/ML models”

Industry & Context.

Automotive
Problems you'll solve

Root cause analysis

What They're Looking For.

Must Have

3–5 years of professional experience in AI/ML solutions, Experience in the automotive domain, Bachelor’s or Master’s degree, Expertise in PyTorch, Expertise in TensorFlow, Programming skills in Python, Programming skills in C++, Hands-on experience with Computer Vision algorithms, Experience with OpenCV, Proven experience with automotive sensor data processing, Proven experience with Sensor Fusion techniques, Familiarity with automotive communication protocols, Familiarity with CAN, Familiarity with Ethernet, Understanding of safety-critical systems, Understanding of ISO 26262

Nice to Have

Experience with MLOps practices, Experience with model lifecycle management, Familiarity with AUTOSAR, Familiarity with QNX, Knowledge of simulation tools, Experience in reinforcement learning, Experience in predictive modeling, Domain knowledge in automotive engineering, Exposure to international projects, Exposure to global stakeholder management, Experience with Daimler systems

What You'll Do.

Lead design of AI/ML models

Implement AI/ML models

Develop data pipelines

Manage data pipelines

Collect automotive sensor data

Clean automotive sensor data

Annotate automotive sensor data

Augment automotive sensor data

Integrate AI software components

Propose innovative solutions

Prototype innovative solutions

How You'll Work.

Team & Collaboration

Verification and validation teams; Cross-functional teams

Full Job Description

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. Key Responsibilities: Design and Development:  Lead the end-to-end design, development, and implementation of robust AI/ML models (e.g., Deep Learning models for perception, prediction, and control) for production use in automotive platforms. Data Pipeline Management:  Develop and manage large-scale data pipelines for the collection, cleaning, annotation, and augmentation of complex automotive sensor data (e.g., LiDAR, RADAR, camera, ultrasonic) required for model training and validation. Model Optimization and Deployment:  Optimize ML models for performance, latency, and memory constraints on  Edge devices  and  automotive-grade Electronic Control Units (ECUs) , utilizing techniques like quantization, pruning, and hardware acceleration. Validation and Testing:  Collaborate with verification and validation (V&V) teams to rigorously test and evaluate AI models against safety-critical standards and real-world driving scenarios. System Integration:  Integrate developed AI software components with the vehicle’s operating system and other hardware/software subsystems, ensuring seamless functionality and reliability. Research and Innovation:  Stay abreast of the latest AI/ML research and automotive technologies, proactively proposing and prototyping innovative solutions to enhance product performance and features. Required Qualifications Experience: 3–5 years  of professional experience in developing and deploying AI/ML solutions, with a significant portion of this experience directly in the  automotive domain . Education:  Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Robotics, or a relat

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