Machine Learning Engineer

4 days ago

Chennai, Tamil Nadu, India Ottimate Full time

Responsibilities : - Build deep learning models for a variety of image and text-based tasks. Eg : Instance segmentation, image2text, text parsing, image/text classification, few shots, and active learning. - Build and optimize infrastructure for training, deploying, bench-marking, and monitoring large-scale deep-learning models. - Build infrastructure for dataset discovery, collection, and pre-processing. - Read and be aware of state-of-the-art research in computer vision, text processing, and active learning and adapt them to problems that we solve at Ottimate - You will be part of a growing team that designs, develops, and deploys machine learning models that advance the state of the art in extracting structured information from images and documents, and help businesses automate document-based workflows. - A typical day will include one or many of the following : reading and writing machine learning / deep learning code, catching up on state-of-the-art research, analyzing datasets, working on infrastructure and dev ops, training and benchmarking models, monitoring performance, and brainstorming with other engineers in the team. Requirements : - Strong team player, ability to collaborate with multiple remote engineers working towards a common goal. - Strong communication and writing skills, ability to explain and present complex ideas to other members of the team. - Ability to think critically and logically and a high inclination towards problem-solving. - Ability to grasp things quickly, excellent in time management, and a can-do attitude. - Masters or PhD in computer science or related fields. - 4 years of total experience out of which a minimum of 2 years of experience in building and deploying Machine Learning / Deep Learning models in a production setting. - Strong software engineering and computer science fundamentals, with experience building and deploying Deep Learning models to production. - We are a Python shop. Strong background and experience in Python are necessary. - Strong skills in working with multiple codebases, version control, and CI/CD. - Strong understanding of Machine Learning and Deep Learning fundamentals, with the ability to read and understand cutting-edge research papers and implement them in any popular framework. - Expertise in any of the following : Computer vision, Natural Language Processing, deep learning, non-convex optimization, neural networks, active learning, few-shot learning, meta-learning, CNNs, RNNs, and reinforcement learning. - Strong experience in any one popular Deep Learning framework like caffe/MXNet/Keras (Tensorflow)/ Pytorch, Keras, Tensorflow, Jax We use Keras (Tensorflow)/ Pytorch in general we are framework agnostic. - Experience in SQL. - Experience in building APIs using Flask, and Django. (ref:hirist.tech)

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