Job Title: AI/ML Engineer-Computer Vision

Location: Gurugram

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); robust 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).

Skills:- Computer Vision, Image Processing and Python

📌 AI/ML Engineer-Computer Vision (Gurugram)
🏢 Bean HR Consulting
📍 Gurugram