Job description
This is a remote position.
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Busigence is a Decision Intelligence Company. We create decision intelligence products for real people by combining data, technology, business, and behaviour enabling strengthened decisions.
NLP Developer
Team: Sciences
Location: Remote
Relevant Exp: 0-4 Years
Background: Been there-Done that
Compensation: Above industry standards
Requirements
This is an immediate requirement. We shall have an accelerated interview process for fast closure - you would required to be proactive and responsiveRemote position (work-from-anywhere)
Immediate joiners must apply
NLP Experienced - course/competitions/internships/job (<4 years)
Competitive compensation
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| MUST HAVE |
************1. Code in Python3 - Numpy?
2.Code in Python3 - Pandas?
3.Code in Python3 - Scikit Learn?
4. Code in Python3 - SpaCy 3?
5.Code in Python3 - TensorFlow 2?
6. Code in Python3 - PyTorch 1.5?
7.Developed deep learning models on real-world problems involving processing text and speech?
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We are offering one of the most challenging & exciting work on Language Processing Pipelines. You shall be working on sophisticated platforms, products and applications
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We are looking for developer with real passion for natural language processing. This is a specialist and individual contributorrole. Product development experience preferably at a startup or a lean team is desired
ROLE
We are looking for engineers with real passion for natural language with actual hands-on experience developing artificial intelligence application on TensorFlow/PyTorch. You would be required to work with our data science team on development of several AI applications.
Mandatory
1. Fetching unstructured data (text, audio, logs) from data sources (databases, filesystems, APIs, streams etc.)2. Prepare data through frameworks including NLTK, SpaCy, Gensim, Librosa etc.3. Writing complex deep learning models in TensorFlow/PyTorch for classification, regression, clustering, association, anomaly detection, structured output4. Worked extensively on deep neural networks - CNNs, RNNs, MLPs, DBNs, RBMs, Autoencoders5. Worked on word vectors and word embeddings6. Worked on entity resolution for document processing
Preferred1.Functional programming in Python onvinaigrettemap-reduce lambda paradigm
2. Worked on development of data platform
3. Worked on Scikit-learn, PyTorch, Keras
4. Implemented BERT on context-based language processing
5. Implemented attention mechanism on transformers
Benefits
How to ApplyYou should apply online by clicking "Apply Now".For queries regarding an open position, please write For more information, visit
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Scaling established startup innovating & disrupting various domains through artificial intelligence. We bring those people onboard who are dedicated to deliver wisdom to humanity by solving the world’s most pressing problems differently thereby significantly impacting thousands of souls, everyday.We are a deep rooted organization with success story having worked with folks from top tier background (IIT, NSIT, DCE, BITS, IIITs, NITs, IIMs, ISI etc.) maintaining an awesome culture with a common vision to build great data products. In past we have served fifty five customers and presently developing Enterprise AI products. More details at We work extensively & intensely on big data, data science, machine learning, deep learning, reinforcement learning, data analytics, natural language processing, cognitive computing, and business intelligence.
We look for intent & talent, not skills1. You must be [super sharp]2. You must be [extremely energetic]3. You must be [honourably honest]In addition to the regular stuff which every good startup offers – Lots of learning, Food, Parties, Open culture, Flexible working hours, and what not….
We offer you:[Greatest work of life]
You shall be working on our revolutionary products which are pioneer in their respective categories. This is a fact.
We try real hard to hire fun loving crazy folks who are driven by more than a paycheque. You shall be working with creamiest talent on extremely challenging problems at most happening workplace
Originally posted on Himalayas
Who can apply
Eligible countries: United States. Accepted UTC offsets: UTC-10, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.