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Mid-level ML role, Bangalore location, broad skillset and popular title increase applicant competition.
Core ML skills transfer across industries but embedded vision specialization increases domain sensitivity.
Explicit 2–5 years plus mandatory deep learning, vision, and cloud/big-data skills increases strictness.
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Research, design, develop, and modify machine learning and computer vision algorithms and models using frameworks like TensorFlow, Caffe, or Torch.
Shape product strategy for applied ML/AI solutions by engaging with customers, solution teams, and prototype initiatives.
Support recruitment, training, and development of the ML/AI team and represent the company in the broader ML/AI community through research and collaborations.
2-5 years of experience in Machine Learning or Artificial Intelligence.
Mandatory skills include proficiency in one or more programming languages: Java, C++, Python; and deep learning frameworks like Caffe, Torch, or TensorFlow.
Experience with image/video vision libraries such as OpenCV, Clarafai, or Google Cloud Vision.
Bachelor's degree in Computer Science, Engineering, or related technical field; advanced degree preferred.
Experience building scalable machine learning systems and data-driven products in collaboration with cross-functional teams.
Hands-on with cloud services such as AWS, Microsoft Azure, IBM Cloud, or Google Cloud.
Domain knowledge or experience in natural language processing, text understanding, classification, pattern recognition, recommendation systems, or ranking systems.