Deep Learning Engineer

In this role, you will be responsible for solving complex data problems using deep learning techniques in either computer vision or natural language processing. Your main tasks will include delivering production-ready models for deployment, meeting project requirements and timelines, identifying success metrics, and monitoring them to ensure high-quality output for the client. Additionally, you will be expected to share your ideas and learnings with the team. Key Responsibilities: - Solve complex data problems using deep learning techniques in computer vision OR natural language processing - Deliver production-ready models for deployment - Meet project requirements and timelines - Identify success metrics and monitor them for high-quality output - Share ideas and learning with the team Key Skills: - 2+ years of working experience with Python programming (Mandatory) - Applied experience with deep learning algorithms such as Convolutional Neural Networks, Recurrent Neural Networks, etc. - Machine learning expertise with exposure to frameworks like TensorFlow, Keras, PyTorch, Caffe, MXNet, etc. (Mandatory) - Minimum 2 years of experience in NLP/computer vision domain (Mandatory) - Exposure to DL model optimization and transfer learning techniques - Exposure to SOTA algorithms in computer vision and/or natural language processing like faster RCNN, YOLO, GPT, BERT, etc. - Strong verbal and written communication skills for interactions with the team and clients The company offers a fun workplace with a flat job hierarchy, flexible work hours, casual dress code, and a disciplined workplace environment. Additionally, there are opportunities for learning and development through team cohesion, task autonomy, smooth reporting, and extensive training. HR policies include POSH Act for inclusivity, flexible leave policy, monthly paid leaves, and bonus & incentives. The company also provides motivational initiatives such as team appreciation, individual awards, performance rewards, and salary appraisals.,