At HyperWorks Imaging, we are removing crucial business bottlenecks in R&D, Medtech and Foodtech. Our team members use the latest advances in deep learning and multi-modal machine learning techniques to solve these diverse problems. Some example implementations are in optimizing image based workflow for next gen battery chemistry, enhancing supermarket checkout via visual analytics, creating quality control schema for high value cash crops etc. We expect our new team members to be hands-on contributors who do not shy away from sharing ideas but are also good at trade offs involving quick fixes and deep dives. Primary Duties: 1. Propose and implement novel ML architectures to solve problems at hand. 2. Understand existing ML frameworks and test various optimizations scenarios. 3. Improve accuracies of existing ML algorithms. Skills required: Theano, Tensorflow, Keras, Scikit-Learn, Pandas, Skimage, Image Analytics, CNNs, C++ Other requirements: ➢ Engineering degree or a self taught genius. ➢ Experience with Deep Learning for image analytics ➢ Demonstrated experience (implementations on github, Kaggle etc). Remuneration: 1. Depending on experience, ESOPs for Rock Stars.
We're looking for Senior NLP Engineer (2+ years experience) for our company - Spotmentor Technologies. Right now our Technology team has 5 members and this role is for early team member and carries significant ESOPs with it. We need someone who can lead the NLP function with both vision and hands-on work and is excited to use this area to develop B2B products for enterprise productivity.RESPONSIBILITIES----------------------- • Collaborate with cross-functional team members to develop software libraries, tools, and methodologies as critical components of our computation platforms. • Use independent judgment to take existing code, understand its function, and change/enhance as needed. • Work as a team leader rather than a member. • Capable of adding valuable inputs to existing algorithms by reading NLP research papers.REQUIREMENTS-------------------- • Proficient in Python with sound knowledge in the data science libraries namely Numpy, Pandas, NLTK / spaCy etc. • Prior experience in building a fully functional NLP based Machine Learning Model with good results (NER/Classification/Topic Modeling). • Expert data scientist with professionalism in text classification, feature engineering, using embeddings, pos etc. • Knowledge of writing database queries (SQL/NoSQL). • Some background in information retrieval systems is a big plus.