Machine Learning Engineer – Computer vision & Detection

Work on advanced AI systems for object detection, tracking, and classification in real-world environments. This role focuses on building deep learning models for mission-critical applications.

Key Responsibilities

• Develop DL models for detection, classification, segmentation
• Train and optimize models on large datasets
• Implement YOLO, CNN, Faster R-CNN models
• Perform model evaluation and tuning
• Build end-to-end ML pipelines
• Deploy models for real-time/batch processing

Required Skills

• Python
• PyTorch / TensorFlow
• OpenCV
• Object detection models (YOLO, SSD, Faster R-CNN)
• Image classification and segmentation
• Dataset preparation and augmentation
• Model evaluation metrics (mAP, precision, recall)
• GPU-based training

Preferred Skills

• Tracking algorithms (DeepSORT, ByteTrack)
• MLOps and deployment
• Real-time system experience

Why Join

• Work on defence AI systems
• Exposure to cutting-edge computer vision technologies
• Opportunity to solve real-world detection challenges

Notice Period: Immediate to 30 days preferred

Job Types: Full-time, Contractual / Temporary

Contract length: 24 months

Pay: ₹30,000.00 - ₹50,000.00 per month

Benefits

• Health insurance
• Provident Fund

Work Location: In person