Staff Engineer, Software

Stryker — Gurugram, India

Work Flexibility: Hybrid or Onsite Job Description: We are seeking an experienced engineer who brings two distinct skill sets: AI/ML (Computer Vision) - owning the training, testing, and tuning of vision-based models for live camera-feed monitoring; and Native Android Development - developing and shipping a production Android app that talks to our cloud. You will partner with the deployment team to align models with their scaling/runtime constraints, work with the maintenance team to maintain and upgrade models. Key Responsibilities Design, train, evaluate, and tune computer vision models (detection, classification, segmentation, tracking) for live video and multi-camera use cases, including dataset curation, training/validation/testing pipelines, and rigorous benchmarking on accuracy, latency, and throughput. Optimize models (architecture, quantization, pruning, distillation) to meet deployment and scaling constraints provided by the deployment team; re-tune or re-architect when those constraints change. Partner with the operations team to maintain and upgrade models in production — triage regressions, refresh on new data, address drift, and ship improved versions. Design, build, and ship a native Android application (Kotlin, Jetpack Compose, MVVM/Clean Architecture, Hilt, Coroutines/Flow, Room, WorkManager) that interacts with our cloud backend. Build secure cloud integration : REST/gRPC, OAuth2/JWT, TLS, FCM push, and offline-first sync; handle Android runtime permissions and background execution correctly. Set up Android CI, testing (unit + instrumentation), crash reporting, and Play Store release pipelines. Required Qualifications 5+ years of total professional software engineering experience. Proven experience in vision-based model training and testing , with models shipped to production. Hands-on experience with cloud-based AI training/experimentation infrastructure (AWS SageMaker, GCP Vertex AI, Azure ML, or equivalent). Experience building models fo

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