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Strong employer brand and Bangalore metro location increase applicant competition despite senior, specialized role.
High domain bias; requires deep ML/CV and ML-platform expertise, limiting transferability.
Explicit 9+ years plus mandatory GCP, Vertex AI, ML infra, and CV expertise enforces strict shortlisting.
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Lead design and development of scalable, reliable, cloud-agnostic machine learning platform components supporting AI applications for video.
Drive architecture, deployment, and observability of AI/ML pipelines including training, serving, evaluation, and continuous improvement on GCP.
Collaborate with cross-functional teams to integrate advanced Computer Vision, Deep Learning, Generative AI, and video understanding capabilities into production workflows.
9-12+ years of software engineering experience with scalable backend and cloud-native platforms.
Strong hands-on experience with Google Cloud Platform services including Vertex AI, GKE, Cloud Run, BigQuery, and Terraform.
Practical expertise in Deep Learning, Computer Vision, Generative AI models, and ML frameworks (PyTorch, TensorFlow, Hugging Face).
Bachelor’s or Master’s degree in CS, AI, ML, Engineering or relevant field; equivalent practical experience considered.
Experienced in leading ML infrastructure and platform architecture focusing on scalability, reliability, and operational excellence.
Strong Python programming skills combined with expertise in building APIs, microservices, CI/CD pipelines, and infrastructure automation.
Familiar with production deployment and lifecycle management of AI/ML models, including monitoring, rollback, and collaboration across AI, data science, and product teams.