NLP Analyst (3-5 Years)(Hyderabad) Bharti CodersBrain
CodersBrain
Office Location
Full Time
Experience: 3 - 3 years required
Pay:
Salary Information not included
Type: Full Time
Location: Hyderabad
Skills: Sentiment Analysis, Python, Information Retrieval, Exploratory data analysis, Java, Deep Learning, Statistical modeling, Knowledge sharing, NLTK, algorithms, NLP, Text classification, R, Named Entity Recognition, Spacy, nlp solutions, PyTorch, nlp analyst, Methodologies, text data analysis, crossfunctional teams, Applications, Tensorflow, Feature Engineering, nlp research, entity resolution, machine learning techniques, existing systems, Topic modeling, nlp model deployment, NLP Models
About CodersBrain
Job Description
Greetings from Coders Brain Technology Pvt. Ltd. Coders Brain is a global leader in its services, digital, and business solutions that partners with its clients to simplify, strengthen, and transform their businesses. We ensure the highest levels of certainty and satisfaction through a deep-set commitment to our clients, comprehensive industry expertise, and a global network of innovation and delivery centers. Experience:- 3-5 years Location:- Hyderabad JD:- We are seeking a skilled NLP Analyst to join our dynamic team. As an NLP Analyst, you will be responsible for developing and implementing NLP models, algorithms, and tools to extract valuable information from unstructured text data. You will work closely with cross-functional teams to design, train, and evaluate NLP models, as well as contribute to ongoing research and development efforts. Responsibilities Design and develop NLP models and algorithms for text data analysis, including tasks such as sentiment analysis, named entity recognition, topic modeling, text classification, and entity resolution. Collaborate with data scientists, software engineers, and domain experts to gather requirements and define the scope of NLP projects. Preprocess and clean text data to ensure quality and optimize model performance. Train and fine-tune NLP models using various machine learning techniques, such as deep learning, statistical modeling, and information retrieval. Evaluate model performance and provide insights on areas of improvement. Conduct exploratory data analysis and feature engineering to uncover patterns and insights in text data. Stay updated with the latest advancements in NLP research and methodologies, and apply them to enhance our NLP capabilities. Document processes, methodologies, and findings for knowledge sharing and future reference. Collaborate with cross-functional teams to integrate NLP solutions into existing systems and applications. Assist in troubleshooting and resolving issues related to NLP model deployment and performance. Qualifications Bachelor's or Master's degree in Computer Science, Data Science, Computational Linguistics, or a related field. Proven experience in developing and implementing NLP models and algorithms. Strong proficiency in programming languages such as Python, R, or Java, along with libraries and frameworks such as NLTK, SpaCy, TensorFlow, or PyTorch. Solid understanding of machine learning techniques, including deep learning, natural network error If you are interested then click on apply button else send your resume on prerna.jain@codersbrain.com / pooja.gupta@codersbrain.com Skills: sentiment analysis,python,named entityrecognition,information retrieval,exploratory data analysis,java,spacy,nlp solutions,deep learning,pytorch,nlp analyst,methodologies,text dataanalysis,statistical modeling,cross-functional teams,knowledge sharing,nltk,applications,tensorflow,algorithms,feature engineering,nlp,nlp research,entity resolution,machine learningtechniques,text classification,existing systems,topic modeling,nlp model deployment,r,nlp models,