Deep Learning Engineer

You will be responsible for solving complex data problems using deep learning techniques in computer vision OR Natural Language processing. Your primary tasks will include delivering production-ready models, 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 ideas and learnings with the team. To succeed in this role, you must have at least 2+ years of working experience with Python programming. Applied experience with Deep Learning algorithms such as Convolutional Neural Networks, Recurrent Neural Networks, and machine learning expertise with exposure to frameworks like Tensorflow, Keras, pytorch, Caffe, MXNet is mandatory. You should also possess a minimum of 2 years of experience in the NLP/Computer vision domain. Exposure to DL Model optimization, transfer learning techniques, and SOTA algorithms in computer vision &/or Natural language processing will be beneficial for tasks like Object detection, tracking, classification, text summarization, etc. Strong verbal and written communication skills for effective interactions with the team and clients are essential. In this role, you will enjoy a fun workplace environment with a flat job hierarchy, flexible work hours, casual dress code, and a disciplined workplace environment. Additionally, you will have opportunities for learning & development, team cohesion, task autonomy, smooth reporting, and extensive training. The company's HR policies include the POSH Act for inclusivity, a flexible leave policy, monthly paid leaves, and bonus & incentives. You will also be motivated through team appreciation, individual awards, performance rewards, and salary appraisals.,