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Mid-level ML role, metro location, common title and broad ML/CV skill requirements drive high competition.
Core ML/CV skills transfer across industries, but embedded vision specialization increases domain sensitivity.
Explicit 3–5 years plus mandatory DL frameworks, languages, cloud and CV skills make filtering strict.
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Research, design, develop, and modify computer vision and machine learning algorithms and models using frameworks like Caffe, Torch, or TensorFlow.
Shape product strategy for applied ML/AI solutions through customer engagement, discovery workshops, and prototyping.
Support building and growing a high-impact ML/AI team via recruitment, training, and community evangelism.
2-5 years of work or educational experience in Machine Learning or Artificial Intelligence.
Mandatory skills include one or more: Java, C++, Python; Deep Learning frameworks such as Caffe, Torch, or TensorFlow; image/video vision libraries like OpenCV, Clarafai, or Google Cloud Vision.
Experience in supervised & unsupervised learning, big data platforms (Hadoop, Spark, HIVE, Tableau) and cloud services (AWS, Microsoft, IBM, Google Cloud).
Bachelor's degree in Computer Science, Engineering, or related technical field (advanced degree preferred).
Experienced in building scalable machine learning systems and data-driven products collaborating with cross-functional teams.
Skilled in designing and tuning machine learning and computer vision algorithms, including CNN for image classification and object detection.
Familiar with embedded vision processing systems and contributing to broader ML/AI community through research or speaking engagements.