Deep Learning Engineer

Role Overview:

We are looking for a skilled Deep Learning Engineer with hands-on experience in object detection and segmentation models . The ideal candidate should be proficient in model development, data preparation, and deployment in real-time environments.

Key Responsibilities:

• Implement and fine-tune object detection models (YOLOvX, Faster R-CNN, EfficientDet, SSD, Mask R-CNN).
• Work on real-time computer vision applications and performance optimization.
• Annotate and prepare datasets using Roboflow, CVAT, LabelImg, etc.
• Collaborate on research and development to enhance model performance and robustness.
• Deploy models using Docker on Linux/Windows systems; edge deployment experience is a plus.
• Document code, experiments, and deployment processes; collaborate with cross-functional teams.

Required Skills:

• Strong Python programming skills.
• Experience with TensorFlow, PyTorch, OpenCV, and ONNX.
• Hands-on with Docker, Linux/Windows environments.
• Familiarity with model optimization (quantization, pruning).
• Experience in edge deployments (e.g., NVIDIA Jetson, TensorRT, OpenVINO) is an advantage.
• Knowledge of experiment tracking tools like MLflow or Weights & Biases is a plus.

Qualifications:

• Bachelor’s or Master’s in Computer Science, AI, Data Science, or a related field.
• Strong analytical, problem-solving, and team collaboration skills.

Job Type: Full-time

Pay: ₹300,000.00 - ₹1,500,000.00 per year

Schedule:

• Day shift

Work Location: In person