Staff Engineer, Software

Stryker; India; Híbrido; INR 1.200.000 - 1.800.000; Jornada completa

Descripción de la vacante

Stryker Corporation is seeking a Staff Engineer, Software, to develop AI/ML models and a native Android application in Gurugram, India. This role blends model training and Android app development, requiring proficiency in cloud-based AI and Kotlin.

The ideal candidate has 5+ years of software engineering experience, strong skills in ML frameworks, and a solid background in delivering production Android apps. The position offers hybrid work flexibility and the chance to impact AI-driven solutions.

Formación

• 5+ years of total professional software engineering experience.
• Experience in vision-based model training and testing.
• Strong proficiency in Kotlin and the modern Android stack.

Responsabilidades

• Design and optimize computer vision models for live video.
• Develop and ship a native Android application.
• Collaborate with operations team to maintain models post-launch.

Conocimientos

AI/ML (Computer Vision)

Native Android Development

Proficiency in Python

Kotlin

Cloud-based AI training

ML frameworks (PyTorch, TensorFlow)

Cloud connectivity on Android

Embedded/IoT hardware interfacing

Educación

Bachelor’s or Master’s degree in Computer Science, AI/ML

Descripción del empleo

## Staff Engineer, SoftwareApplylocations: Gurugram, Indiatime type: Full timeposted on: Posted Yesterdayjob requisition id: R568068Work 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 for continuous monitoring via live video input from cameras and tuning them for efficient inference across multiple concurrent camera streams.* Track record of collaborating with deployment/MLOps/operations teams - translating runtime constraints into model decisions and supporting models post-launch.* Proficiency in Python and ML frameworks (PyTorch, TensorFlow, TensorFlow Lite, ONNX); strong grasp of CNNs and modern detection/tracking architectures (YOLO, DETR, ByteTrack, etc.).* Strong proficiency in **Kotlin** and the modern Android stack (Jetpack, Compose, Coroutines/Flow, Hilt, Room, WorkManager); demonstrated experience shipping production Android apps to the Play Store.* Deep working knowledge of Android Wi-Fi and BLE APIs.* Experience with **cloud connectivity** on Android (REST, gRPC, WebSockets, or MQTT; OAuth2/JWT; TLS; FCM) and Android’s security/permissions model (runtime permissions, foreground services, background execution limits).* Comfort interfacing with embedded/IoT hardware over BLE and WiFi under real-world conditions (intermittent connectivity, retries, power constraints).**Preferred Qualifications*** On-device inference acceleration (Android NNAPI, Qualcomm SNPE, MediaPipe, GPU delegates).* Streaming protocols (RTSP, WebRTC, HLS) and video codecs; edge / IoT camera deployments.* Model monitoring, drift detection, and active learning loops.* Contributions to open-source ML or Android projects.**Education*** Bachelor’s or Master’s degree in Computer Science, AI/ML, or related field — or equivalent practical experience.**measurement bias*** Strong product mindset and bias for measurement - you instrument, benchmark, and optimize.* Excellent collaboration skills with deployment and operations teams, and a maintenance mindset toward models in production.* Ability to switch effectively between **two distinct domains** (ML model development and Android app development) and deliver in both.Travel Percentage: 10%