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Job Location: Mumbai, Bengaluru(Koramangala)
Job Detail:
AI-NLP Engineer
We are seeking senior AI-NLP Engineers (2-4 years experience) with expertise in NLP, both traditional NLP and DL seq-seq models and excellent academic record from premier institutes (IIT, NIT, IIIT, BITS etc.) to join our team at Cyble.
About Cyble: Cyble is a Series -A funded global cyber intelligence start-up backed by Y Combinator and reputed VC firms including Blackbird Ventures and Spider Capital, Xoogler Ventures, Picus Capital, and Cathexis Ventures. Cyble provides capabilities for customers to manage cyber risks with AI powered actionable threat intelligence. We are specialists in gathering intelligence across the Deepweb, Darkweb and the Surface Web. We are a fast growing startup recognized by Forbes along with other distinctions (https://cyble.com/press.php).
About the team: Our AI engineers will be part of an expanding team, building AI/ML products for cyber threat intelligence, especially from Darkweb. Our engineers will have a great deal of autonomy and ownership of their projects and will be involved in the complete product lifecycle.
Responsibilities: As an AI-NLP Engineer you will be responsible for advancing the implementation efforts of our Machine Learning pipelines. You will be working on very large datasets that could span to billions of data points. You will be involved from concept, all the way through deployment taking part in the complete project life cycle. You will be responsible for experimenting with multiple models and making them efficient and accurate to be deployed in the real world. You will be responsible for data pre-processing, training, deploying, maintaining, and advancing our ML pipeline.
Basic skills (must haves):
– Bachelor’s/Master’s Degree in Computer Science or related field from premier institutes.
– 0-4 years of academic and/or industry experience working on machine learning and deep learning models.
– Expert in Python programming, algorithms and data structures.
– At least 2 years of industry experience working with Natural Language Processing algorithms.
– Proficient in Python and Machine Learning libraries such as spaCy, Tensorflow, Pytorch, NLTK , Sklearn, pandas, NumPy.
– Proficient in text pre-processing, tokenization, and information extraction from heavily unstructured and noisy data at terabyte scale.
– Must have built (either from scratch or from open-source repositories), trained and deployed deep learning models in NLP like Transformer based models (BERT, GPT, T5 etc.) and other seq-seq models.
– Expertise working with entity recognition, entity linking, PoS tagging, dependency parsing etc.
– Expertise building knowledge graphs for large data sets spanning hundreds of millions of records.
– Ability to produce well documented code that is optimized, fault-tolerant, and maintainable.
Preferred skills (nice to have):
– Has produced demonstrable work in building real-world deployed machine learning systems.
– Understanding of design for scalability, performance, and reliability of large-scale distributed ML systems.
– Experience with very large-scale data (billions to trillions of data points).
– Experience with cyber security and Darkweb.
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