Staff Engineer, Software (AI/ML & Android)

About the role

Stryker is looking for an experienced engineer in Gurugram who combines two skill sets: AI/ML (computer vision) and native Android development. You will own the training, testing and tuning of vision-based models for live camera-feed monitoring, and develop and ship a production Android app that talks to the cloud. The role is hybrid or onsite, with about 10% travel.

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 benchmarking on accuracy, latency and throughput.
• Optimize models (architecture, quantization, pruning, distillation) to meet deployment and scaling constraints, and re-tune or re-architect when they change.
• Partner with operations to maintain and upgrade models in production: triage regressions, refresh on new data, address drift and ship improved versions.
• Build and ship a native Android app (Kotlin, Jetpack Compose, MVVM/Clean Architecture, Hilt, Coroutines/Flow, Room, WorkManager).
• Set up secure cloud integration (REST/gRPC, OAuth2/JWT, TLS, FCM push, offline-first sync) and handle Android runtime permissions and background execution correctly.
• Set up Android CI, unit and instrumentation testing, crash reporting and Play Store release pipelines.

Required profile

• 5+ years of total professional software engineering experience.
• Proven experience training and testing vision-based models and shipping them to production.
• Hands-on experience with cloud-based AI training/experimentation infrastructure (AWS SageMaker, GCP Vertex AI, Azure ML or equivalent).
• Experience building models for continuous monitoring via live video input and tuning them for efficient inference across multiple concurrent camera streams.
• Track record of collaborating with deployment, MLOps or operations teams and translating runtime constraints into model decisions.
• Bachelor's or Master's degree in Computer Science, AI/ML or a related field, or equivalent practical experience.

Required skills

• Python and ML frameworks (PyTorch, TensorFlow, TensorFlow Lite, ONNX); strong grasp of CNNs and detection/tracking architectures (YOLO, DETR, ByteTrack).
• Kotlin and the modern Android stack (Jetpack, Compose, Coroutines/Flow, Hilt, Room, WorkManager); shipped production Android apps to the Play Store.
• Deep knowledge of Android Wi-Fi and BLE APIs, and cloud connectivity on Android (REST, gRPC, WebSockets or MQTT, OAuth2/JWT, TLS, FCM).
• Ability to interface with embedded/IoT hardware over BLE and WiFi under real-world conditions.
• Preferred: on-device inference acceleration (NNAPI, SNPE, MediaPipe), streaming protocols (RTSP, WebRTC, HLS), model monitoring and drift detection, and open-source contributions.