Computer Vision / Machine Learning Engineer

*Location:* Ahmedabad (Onsite)

*Experience:* 5+ Years

### *About the Role*

We are looking for a highly skilled *Computer Vision & Machine Learning Engineer* with strong expertise in camera-based vision systems and deep learning frameworks. The ideal candidate should have experience with both mono and stereo cameras, image detection algorithms, and training ML models for real-world applications.

### *Key Responsibilities*

* Design, develop, and optimize computer vision algorithms for object detection, tracking, and recognition.

* Work with *mono and stereo camera* setups for depth perception, calibration, and 3D reconstruction.

* Implement and fine-tune image detection algorithms using *YOLOv11, MMAction2* (or similar frameworks).

* Train, validate, and deploy ML/DL models using *Python, PyTorch, and Conda environments*.

* Optimize training and inference using *CUDA/GPU acceleration*.

* Collaborate with cross-functional teams to integrate solutions into production systems.

* Stay updated with the latest research in deep learning and computer vision.

### *Required Skills & Qualifications*

* 3–7 years of hands-on experience in *Computer Vision & ML/DL*.

* Strong experience working with *Mono & Stereo Cameras*.

* Proven expertise in *image detection algorithms* and *model training*.

* Proficiency in *Python, PyTorch, YOLOv11, MMAction2*.

* Experience with *Conda environments* and ML workflows.

* Good understanding of *CUDA* for GPU-based acceleration.

* Strong problem-solving and debugging skills.

### *Good to Have*

* Knowledge of model optimization and deployment on edge devices.

* Familiarity with OpenCV, TensorRT, or ONNX.

* Experience in handling large-scale datasets for training.