Posted May 5, 2026
Key Responsibilities:
Qualifications Required:
B.Tech/B.E degree
Solid understanding and extensive knowledge of computer vision, advanced machine learning, and deep learning principles
Significant experience with machine learning frameworks such as TensorFlow, Keras, PyTorch, or ONNX
Prior experience in end-to-end vision-based MLOps development cycle, from data collection strategy to deployment on the edge
Ability to strategize ML testing using CI/CD-based development pipelines
Experience in deploying neural networks on edge accelerators, leveraging graph optimization techniques, compiler design, and custom AI accelerator design
Proficient understanding of CPU architecture: Ability to perform capacity estimation and planning to ensure that systems (built prototypes) are scalable and can handle projected workloads
Solid programming skills in Python, with a deep understanding of data structures and algorithms
Excellent communication skills in English and analytical and logical thinking ability (Note: Optional details about the company were not provided in the job description) Role Overview: Join the perception team at BMW TechWorks India to work on industrializing sophisticated low-level perception algorithms for advanced driver assistance systems. You will be involved in all development phases, from prototyping to deployment of deep learning models, in an international and interdisciplinary workplace with an agile mindset. The campus offers the necessary cloud infrastructure to work with large amounts of data and focus on future automobile software. Key Responsibilities:
Participate actively in all development phases, including prototyping, training data preparation, implementation, testing, and deployment of deep learning models
Utilize expertise in computer vision, advanced machine learning, and deep learning principles
Experience with machine learning frameworks like TensorFlow, Keras, PyTorch, or ONNX
Prior experience in end-to-end vision-based MLOps development cycle, from data collection strategy to deployment on the edge
Strategize ML testing using CI/CD-based development pipelines
Deploy neural networks on edge accelerators, leveraging graph optimization techniques, compiler design, and custom AI accelerator design
Understand CPU architecture for capacity estimation and planning
Demonstrate solid programming skills in Python with a deep understanding of data structures and algorithms
Communicate effectively in English with strong analytical and logical thinking abilities
Qualifications Required:
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