Ottimate - Machine Learning Engineer - Deep Learning/NLP (4-7 yrs)

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.

- 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.