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AI Engineer - Gurugram, India - NewsBytes
Description
About the companyElysium Labs is a technology company based out of Singapore that operates in the media space. We are the pioneers of robot journalism in India. We use a mix of AI-generated and human-edited content, across media formats, be it audio, video or text.Our key products include India's first explanatory journalism portal- NewsBytes, a content platform for developers- DevBytes, a SaaS platform for content creators- YANTRA and a search engine for stat-based content.
Our B2C media products are consumed by more than 50 million users in a month, while our AI-driven B2B content engine helps companies create text-based content at scale.
Job DescriptionYou will be working in a fast-paced environment. Willingness to learn is the key requirement for the job. If you eat, breathe and drink technology, this is the job for you
Who are you?You are enthusiastic about learning new technologies, have an analytical brain and love to solve hard problems.
You are brilliant, yet humble.
You can work independently as well as part of a team.
You take ownership of projects and drive them to conclusion.
You are capable of not just doing the work, but teaching others and explaining the "why" behind complicated decisions.
And you are only at peace when you have successfully solved a problem.
What skills are we looking for?Python, python and python.
Understanding of linear algebra, optimization, probability, and statisticsExperience in exploratory data analysis, feature engineering, model selection, and model evaluationShould be able to conceive the design and the mechanism to define the efficacy of the modelUnderstanding of the inner workings of different types of Neural NetworksExpertise in NLP techniques including but not limited to tagging, entity recognition, information extraction among othersExperience in text analysis techniques like TF-IDF, text vectorization,Understanding of Machine Learning frameworks like Tensorflow/Keras/Pytorch/NLTK
ResponsibilitiesCollaborating with the stakeholders and understanding data engineering needed to bring analytical prototypes to productionData collection, data cleaning, and pre-processingFinding and developing appropriate models to solve the problemHypothesis testingDeploying, automating, maintaining, and managing cloud-based production systems for big data analytics
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