Senior AI/ML- Computer Vision Specialist

About the job

Job Title: Senior AI/ML- Computer Vision Specialist Company: Aaizel International Technologies Pvt Ltd Employment Type: Full Time (Onsite) About the role We are seeking a talented Computer Vision Engineer with strong academic credentials and research experience to join our AI/ML team. This role focuses on developing and implementing state-of-the-art computer vision solutions for specialized detection and analysis systems. You will work on challenging problems at the intersection of deep learning, forensic AI, and multi-modal analysis. Key Responsibilities Research & Development • Design and implement novel computer vision architectures for complex detection and classification tasks • Explore and evaluate cutting-edge research papers and integrate promising techniques into production systems • Develop custom loss functions, training strategies, and optimization techniques for specialized applications • Conduct rigorous experiments with comprehensive documentation and ablation studies • Contribute to technical documentation, research reports, and potential publications Model Development • Build end-to-end deep learning pipelines for image, video, and multi-modal analysis • Design and train custom neural network architectures combining CNNs, transformers, and hybrid approaches • Implement advanced techniques, including attention mechanisms, metric learning, and feature fusion • Optimize models for production deployment with a focus on accuracy-latency trade-offs • Develop robust evaluation frameworks with domain-specific metrics Technical Collaboration • Work closely with the AI/ML team to solve complex technical challenges • Provide insights on architectural decisions and experimental design • Share knowledge through technical discussions and code reviews • Stay current with the latest research and identify relevant advances for team adoption Production Integration • Deploy models into production environments with monitoring and continuous improvement • Implement data preprocessing pipelines and augmentation strategies • Optimize inference performance through quantization, pruning, and efficient architectures • Build APIs and services for model deployment using FastAPI or similar frameworks Required Qualifications Education • Currently pursuing or completed a Master's/PhD in Computer Vision, AI/ML, Computer Science, or related field from premier institutions (IIT, IIIT, NIT, or equivalent) • Strong academic record with a focus on computer vision and deep learning coursework • Active research profile with publications in top-tier conferences (CVPR, ICCV, ECCV, NeurIPS, ICML) or journals • Thesis/research work demonstrating deep technical expertise in computer vision Experience • 2+ years of hands-on experience in computer vision and deep learning research/development • Proven track record of implementing research papers and novel architectures from scratch • Experience with real-world computer vision projects beyond academic coursework Technical Expertise Deep Learning & Computer Vision • Expert-level proficiency in PyTorch (preferred) or TensorFlow • Strong understanding of CNN architectures (ResNet, EfficientNet, DenseNet, etc.) • Experience with Vision Transformers (ViT, Swin, DINO, etc.) • Knowledge of attention mechanisms and self-attention for vision tasks • Understanding of metric learning, contrastive learning, and embedding-based methods • Experience with multi-modal learning and cross-modal fusion techniques Computer Vision Fundamentals • Deep understanding of image processing, filtering, and transformations • Experience with object detection (YOLO, Faster R-CNN, DETR) and segmentation • Knowledge of video analysis techniques and temporal modeling • Familiarity with feature extraction and representation learning • Understanding of data augmentation strategies and regularization techniques Research & Implementation • Ability to read, critically analyze, and implement research papers independently • Experience with experimental design, hypothesis testing, and ablation studies • Proficiency in experiment tracking tools (Weights & Biases, MLflow, TensorBoard) • Strong mathematical foundation in linear algebra, optimization, and probability Software Engineering • Proficient in Python with clean, modular coding practices • Experience with OpenCV, torchvision, PIL/Pillow, and other CV libraries • Knowledge of version control (Git) and collaborative development workflows • Familiarity with Docker and containerization • Experience with large-scale dataset handling and efficient data loading Preferred Qualifications • Publications in top-tier CV/ML conferences or journals (CVPR, ICCV, ECCV, NeurIPS, ICML, AAAI, etc.) • Experience with forensic analysis, anomaly detection, or media authenticity verification • Knowledge of generative models (GANs, VAEs, Diffusion Models) • Understanding of adversarial robustness and model security • Experience with 3D vision, depth estimation, or multi-view geometry • Familiarity with signal processing for audio/visual analysis • Background in image quality assessment or artifact detection • Experience with few-shot learning, open-set recognition, or domain adaptation • Knowledge of model compression and efficient architectures • Contributions to open-source computer vision projects • Experience with cloud platforms (AWS, GCP, Azure) for ML workloads Please share your resume at akansha@aaizeltech.com and smriti@aaizeltech.com

Requirements

• Python
• PyTorch
• TensorFlow
• CNN Architectures
• Computer Vision

Qualifications

• Master's
• PhD in Computer Vision
• AI/ML
• Computer Science

Preferred Technologies

• Python
• PyTorch
• TensorFlow
• CNN Architectures
• Computer Vision