Juniper Outdoor
Website:
juniperoutdoor.in
Job details:
Hiring Brief — AI Computer Vision Engineer (Industrial Vision Systems)
We’re building an AI-powered monitoring and analytics platform for a large-scale brewery production environment. The system will use computer vision, action recognition, and real-time video analytics to monitor production lines, detect abnormal interactions, improve operational visibility, and reduce inventory shrinkage.
We are looking for a highly capable engineer (or small founding team) with experience in industrial AI systems, real-time video inference, and computer vision deployment.
Role
AI Computer Vision Engineer / Founding AI Engineer
Location: New Delhi / Hybrid / Remote
Industry: Industrial Automation + AI + Manufacturing
About The Project
We are developing a real-time AI monitoring platform integrated into brewery operations and production lines.
The system will:
- Monitor conveyor and packaging lines
- Detect objects such as bottles, crates, cartons, and workers
- Track worker interactions with production lines
- Detect abnormal or unauthorized actions
- Generate event logs and video clips
- Integrate with inventory and operational workflows
- Eventually evolve into a broader “Smart Brewery Operating System”
The platform will combine:
- Computer vision
- Object tracking
- Action recognition
- Edge AI
- Real-time alerting
- Analytics dashboards
Core Responsibilities
- Build and deploy real-time computer vision pipelines
- Develop object detection and tracking systems
- Train custom AI models on industrial video data
- Create action-recognition workflows for production environments
- Build edge inference systems connected to CCTV/IP camera feeds
- Optimize inference latency and GPU performance
- Develop event-based logic systems and alerting pipelines
- Collaborate on production analytics and dashboard workflows
- Work with annotated datasets and video labeling pipelines
- Deploy scalable AI systems for 24/7 industrial usage
Required Skills
Computer Vision
Strong experience with:
- YOLO (v8/v11 preferred)
- OpenCV
- Object detection
- Object tracking
- Pose estimation
- Action recognition
Experience with:
- ByteTrack / DeepSORT
- MediaPipe / OpenPose
- MMAction2
- Detectron2 (bonus)
AI / ML Stack
Must understand:
- PyTorch
- Model training pipelines
- Transfer learning
- Dataset preparation
- Annotation workflows
- GPU optimization
- Real-time inference
Bonus:
- TensorRT
- ONNX
- CUDA optimization
Video Infrastructure
Experience with:
- RTSP camera streams
- CCTV/IP camera systems
- Multi-camera pipelines
- Real-time video processing
- NVIDIA DeepStream (strong bonus)
Backend & Systems
Preferred experience with:
- Python
- FastAPI
- Redis / Kafka
- PostgreSQL
- Docker
- Linux deployment
Bonus:
- Edge AI deployment
- Jetson devices
- Industrial IoT systems
Frontend / Visualization (Bonus)
Nice to have:
- React dashboards
- Event playback systems
- Production analytics visualization
Ideal Candidate
We are looking for someone who:
- Has built real-world AI systems beyond demos
- Understands production-grade deployment
- Can work with messy industrial environments
- Thinks practically about reliability and scale
- Has experience working with video pipelines and GPUs
- Enjoys solving operational problems using AI
Experience in:
- Manufacturing
- Warehousing
- Retail analytics
- Factory automation
- Smart surveillance
- Robotics
- is highly preferred.
Example Use Cases
The system may eventually include:
- Bottle-count verification
- Production anomaly detection
- Conveyor monitoring
- Unauthorized object removal detection
- Worker-zone analytics
- PPE compliance
- Packaging QA
- Downtime detection
- Operational heatmaps
Preferred Candidate Background
- Startup-minded builder
- Comfortable owning systems end-to-end
- Able to prototype rapidly
- Interested in industrial AI and automation
- Comfortable working directly with founders and operations teams
Engagement Type
Open to:
- Full-time
- Contract
- Consulting
- Founding engineer setup
- Small AI studio partnerships
To Apply
Please share:
- Relevant GitHub projects
- Computer vision portfolio
- Industrial AI experience
- Real-time inference work
- Links to deployed systems (if any)
- Experience with YOLO / tracking / action recognition systems
Bonus if you have worked with:
- Brewery systems
- Factory automation
- Warehouse vision systems
- NVIDIA Jetson / DeepStream
- Multi-camera AI pipelines
Click on Apply to know more.