Data Scientist - NLP/NER (3-8 yrs) Hyderabad (Analytics & Data Science)
SKS Enterprises
Hyderabad
6d ago
source : hirist.com

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.

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