Data Scientist - NLP-Must have NER experience
Applicants must have minimum 3 years of experience
About the Company :
Headquartered in New Jersey, our client is a data science consulting company that creates custom visual analytics solutions across business verticals.
There are 500+ employees currently working with them.
Responsibilities and Duties :
3-5 years of experience using analytical tools / languages like Python & R on large scale data
Must have NER experience
Experience working with pre-trained models, awareness of state-of-art in embeddings and applicability for use cases
Experience on Deep Learning for Image processing, Video analytics will be a plus
Must have strong experience in NLP / NLG / NLU applications using any popular Deep learning frameworks like Open CV, PyTorch, Theano, Tensor Flow, Caffe.
Should have implemented solutions for industry use cases.
Demonstrated ability to engage with client stakeholders at multiple levels and provide consultative solutioning across different domains
Deep knowledge of techniques such as Linear Regression, gradient descent, Logistic Regression, Forecasting, Cluster analysis, Decision trees, Linear Optimization, Text Mining etc.
Strong applied fundamentals in data management, parallel computing and distributed systems; experience in productionizing & retraining models
Ability to guide and mentor teams of associates on solution development and approaches
Broad knowledge of fundamentals and state-of-the-art in NLP and machine learning
Coding skills in one or more programming languages such as Python, Scala, Java, C, C++
Expert / high level of understanding on language semantic concepts & data standardization
Proven track record of successful models and practical implementation
Hands-on experience with popular ML frameworks such as TensorFlow
Experience with application development practices at scale, from problem definition to deployment.
Familiarity with Cloud services such as AWS, SageMaker etc. is considered a plus
Develop and apply Statistical Modeling techniques (e.g. Bayesian models and deep neural networks), optimization methods, and other ML techniques to different applications
Knowledge in Machine Learning techniques in entity resolution, common speech products or text search domain
Job Benifits : One of the best companies to work with.