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Strong employer brand, mid-level ML role, popular title, and metro/hybrid availability increase candidate density.
Requires specialized ML and computer vision expertise, limiting transferability across non-ML roles.
Explicit 3+ years and mandatory ML/CV, cloud, and deployment skills create strict technical filters.
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Build and maintain scalable, cloud-enabled data pipelines and infrastructure to support analytics and machine learning workflows.
Collaborate with data scientists, engineers, and business teams to translate data needs into technical solutions, ensuring model performance and maintainability.
Support deployment, monitoring, and troubleshooting of machine learning models and analytics solutions in production environments.
Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field (or equivalent practical experience).
Minimum 3 years programming experience primarily in Python focused on ML and deep learning model development and evaluation.
Strong experience with ML frameworks (PyTorch, TensorFlow, Keras, scikit-learn) and proven computer vision expertise (image/video processing, object detection, segmentation).
Hands-on experience with cloud platforms (AWS, Azure, or GCP) for ML experimentation, training at scale, and deployment.
Experienced in designing end-to-end ML workflows emphasizing model robustness, performance, and production maintainability.
Operates effectively within agile, cross-functional teams including data engineers and platform teams, owning model logic and collaborating on pipelines.
Comfortable communicating technical results and trade-offs to technical and non-technical stakeholders across business functions.