Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Tier-1 brand and Bangalore metro increase competition, specialized CV/MLOps skills moderately limit applicants.
Computer vision and MLOps expertise are specialized and not easily transferable across unrelated industries.
Mandatory Azure, PyTorch/TensorFlow, MLOps, and large-scale data pipeline skills create strict technical filters.
Build and scale cloud-native data pipelines and workflows to support advanced computer vision model development and evaluation.
Architect and implement efficient data infrastructure on Azure for managing and processing millions of images at high throughput.
Develop and automate robust training and evaluation pipelines integrating ML frameworks (PyTorch, TensorFlow) with Azure compute and storage services.
Bachelor’s degree in Computer Science, Electrical Engineering, or a related field.
Experience with Azure cloud services including Blob Storage and ML Compute (implied by responsibilities).
Proficiency with ML frameworks such as PyTorch and TensorFlow.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced engineer with strong background in scalable data engineering and MLOps for computer vision applications.
Familiarity and operating style oriented towards cloud-native infrastructure, especially Microsoft Azure environments.
Capable of optimizing large-scale data operations and implementing infrastructure-as-code best practices.