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Tier-1 employer, metro location, mid-level generalist ML role with broad cloud and MLOps requirements.
Specialized computer vision and MLOps skills moderately transferable across industries, requiring domain-specific image and deployment experience.
Explicit 5+ years plus 3+ years CV experience and specific ML, MLOps, and cloud tooling requirements.
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Lead end-to-end development and deployment of computer vision AI solutions, including data annotation strategy, model architecture, cloud deployment, and impact measurement.
Collaborate with business stakeholders to translate business challenges into well-defined computer vision problems with clear KPIs.
Provide technical leadership and mentorship to junior/full-stack developers for scalable AI system development.
5+ years of hands-on Data Science and Machine Learning experience; at least 3+ years specifically in computer vision production applications.
Master’s or Bachelor’s degree in Computer Science, Data Science, Electrical Engineering, Mathematics, or related quantitative field.
Expert proficiency in Python with deep learning frameworks (PyTorch or TensorFlow/Keras) and cloud platforms AWS or GCP.
Experience in designing data pipelines, annotation strategies, cloud deployment (AWS SageMaker/GCP Vertex AI), and model optimization for inference.
Strong experience owning full computer vision model lifecycle from datasets to production with measurable business impact.
Experience working cross-functionally with business and product teams to align technical solutions to business KPIs.
Proven ability to lead and mentor engineering teams in best practices for ML model design, deployment, and maintenance in cloud environments.