Core Skills (Must-Have)
- Strong Python with solid OOP principles
- PyTorch for model development and training
- Custom datasets, training loops, loss functions, checkpoints
- Computer Vision fundamentals and applied experience
- OpenCV
- Image preprocessing & image correction (lighting, distortion, noise, normalization, etc.)
- Has knowledge of selecting industrial GiGE cameras and appropriate lighting based on the defect to be highlighted and the component surface texture (ex metallic, chrome finish, leather etc)
- Knowledge of camera calibration
- Model training pipelines
- Data collection, Data curation, augmentation, evaluation, iteration
- Model optimization
- Accuracy-latency trade-offs, memory optimization, inference speed
- Multithreading & multiprocessing concepts
- Flask (or similar) for serving ML inference APIs
- Knowledge of common software design patterns

Valuable to Have (Brownie Points)
- Anomaly detection experience
- PatchCore,



PaDiM, SPADE, or similar methods
- Experience with feature extractors (ResNet, ViT, DINO-style backbones)
- C++ knowledge for performance-critical components
- Deployment toolchains: ONNX, TensorRT, OpenVINO
- Experience with GPU acceleration (CUDA awareness is a plus)
- Experience working with cobots, PLC
- Git / version control

Responsibilities
- Build and maintain end-to-end CV/ML systems
- Support in Setting up physical hardware and collecting images using this
- Train, optimize, and deploy models for real-world use
- Integrate models with cameras, lighting, and industrial setups
- Deploy solutions at client locations
- Debug accuracy, latency, and stability issues in production

Pay: From ₹30,000.00 per month

Work Location: In person

📌 Computer Vision Engineer (Gurugram)
🏢 Bala Aatral Solutions
📍 Gurugram