Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Tier-1 employer, metro location, mid-level ML role with specialized computer vision and MLOps requirements.
Computer vision and MLOps skills are transferable across industries but require ML-specific experience, giving moderate portability.
Explicit 6–10 years plus mandatory Azure, PyTorch/TensorFlow, Databricks, and Docker increases shortlist strictness.
Design and maintain scalable, cloud-based data pipelines and workflows for computer vision applications with a focus on Azure.
Build and automate training and evaluation pipelines for computer vision models using frameworks like PyTorch and TensorFlow.
Improve performance and robustness of data and ML pipelines; manage millions of images for next-gen computer vision systems.
6 to 10 years of professional experience in designing and implementing scalable data pipelines and cloud workflows.
Bachelor’s degree in Computer Science, Electrical Engineering, or a related field.
Strong proficiency with Azure cloud services (AzureML, Azure Blob Storage, Azure ML Compute).
Proficiency in Python programming and experience with containerization technologies such as Docker.
Experienced in large-scale computer vision or machine learning data infrastructure, especially within cloud-native environments.
Strong background in ML pipeline automation using PyTorch or TensorFlow and integration with Azure services.
Practical knowledge of software development tools (Git, Linux) and orchestration frameworks (Databricks, Ray) with preference for candidates familiar with ADAS/autonomous driving domains.