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Popular Data Scientist title, early-mid level and Bangalore metro location raise competition.
Core computer vision and deep learning skills are transferable, but sensor and domain experience increases specificity.
Requires 2+ years plus specific computer vision, PyTorch and microservices skills, making screening moderately strict.
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Develop and optimize computer vision and deep learning algorithms for real-time laser and camera-based inspection of train components.
Build and productionalize AI-powered microservices including annotation and active learning pipelines using container orchestrators and Redis.
Collaborate with hardware engineers, software developers, and domain experts to integrate vision solutions into rail industry products.
Bachelor's or Master's degree in Computer Science or related field.
Minimum 2 years work experience in image processing, computer vision, and deep learning.
Proficiency in Python and experience with libraries such as OpenCV, TensorFlow, or PyTorch.
Experience or familiarity with microservices and software development tools relevant for production deployment.
Experienced in computer vision algorithm development for high-speed industrial inspection environments.
Skilled in integrating cross-disciplinary inputs including hardware and software components in product development.
Familiarity with cloud platforms (GCP/Azure/AWS), MLOps/DevOps practices is preferred but not mandatory.