Senior Research Engineer (Natural Language Processing)

As a Senior Research Engineer (Natural Language Processing) at Crimson AI, you will play a key role in identifying and implementing the best data-driven methodologies to meet product

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will include: - Designing, developing, and implementing advanced data-driven approaches such as NLP, machine learning algorithms, and text mining. - Staying updated with relevant recent and past research works. - Working on NLP-ML model deployment and updates. - Optimizing algorithm and code design & execution. - Ensuring high-quality Test-driven development. - Estimating deadlines accurately. - Conducting benchmarking activities. To excel in this role, you should have demonstrated solid research engineering skills in NLP problems through platforms like Kaggle, Github opensource projects, or Google Summer of Code (GSoC). You should also have a strong foundation in mathematics & statistics, proficiency in Tensorflow/Keras/Pytorch, and skills in Python, Python framework, ASGI servers, RDBS, NoSQL databases, data structures, algorithms, design patterns, OOP concepts, RESTful API, micro-server architecture, NLP libraries, ML libraries, text manipulations, regex, and text cleaning. Additional advantage will be your expertise in Cython/C/C++ and publications at A+/A level venues. Join us at Crimson AI, where we are dedicated to building automation and AI software for the scholarly publishing industry, driven by natural language processing and machine learning technologies. Our innovative products aim to ease the human burden in the publication cycle and provide the best solutions for researchers worldwide. As a Senior Research Engineer (Natural Language Processing) at Crimson AI, you will play a key role in identifying and implementing the best data-driven methodologies to meet product

.

will include: - Designing, developing, and implementing advanced data-driven approaches such as NLP, machine learning algorithms, and text mining. - Staying updated with relevant recent and past research works. - Working on NLP-ML model deployment and updates. - Optimizing algorithm and code design & execution. - Ensuring high-quality Test-driven development. - Estimating deadlines accurately. - Conducting benchmarking activities. To excel in this role, you should have demonstrated solid research engineering skills in NLP problems through platforms like Kaggle, Github opensource projects, or Google Summer of Code (GSoC). You should also have a strong foundation in mathematics & statistics, proficiency in Tensorflow/Keras/Pytorch, and skills in Python, Python framework, ASGI servers, RDBS, NoSQL databases, data structures, algorithms, design patterns, OOP concepts, RESTful API, micro-server architecture, NLP libraries, ML libraries, text manipulations, regex, and text cleaning. Additional advantage will be your expertise in Cython/C/C++ and publications at A+/A level venues. Join us at Crimson AI, where we are dedicated to building automation and AI software for the scholarly publishing industry, driven by natural language processing and machine learning technologies. Our innovative products aim to ease the human burden in the publication cycle and provide the best solutions for researchers worldwide.