Data Scientist - Artificial Intelligence/Machine Learning

<p><p><b>Primary Skills :</b> Data Science, AI/ML, GenAI, LLM, Adv NLP, Any Cloud (Azure / AWS/ GCP)</p><p><br/></p><p><b>Job Description :</b></p><p><br/><b>Responsibilities :</b></p><p><p><b><br/></b></p>- Experience in statistical modeling, machine learning, data mining, unstructured data analytics in corporate or academic research environments.<br/><br/></p><p>- Experience in AI/ML, GenAI, LLM<br/><br/></p><p>- Stochastic models, Bayesian modeling, Classification models, Cluster analysis, Neural Network, non parametric methods, Multivariate statistics, Time Series analysis, Regression models, Deep Learning.<br/><br/></p><p>- Experience in NLP, NLU, NLG<br/><br/></p><p>- Experience in NLP tools such as Word2Vec, TextBlob, NLTK, SpaCy, Gensim, CoreNLP, BERT, GloVe etc.<br/><br/></p><p>- Experience in AWS / Azure / GCP / hyper scale implementation.<br/><br/></p><p>- Good programming skills in Python or R.<br/><br/></p><p>- Experience in Tensorflow, Tesseract will be an advantage.<br/><br/></p><p>- Knowledge in Big Data shall be an advantage.<br/><br/></p><p>- Expertise in delivering end to end analytical solutions covering multiple technologies & tools to multiple </p><p>business problems.<br/><br/></p><p>- Ability to co-ordinate multiple teams with analytical or nonanalytical objectives.<br/><br/></p><p>- Partner closely with project managers to deconstruct business problems of the client, develop data models and algorithms that deliver meaningful insights.<br/><br/></p><p>- Critical thinking ability to work in ambiguous situations with unstructured problems.<br/><br/></p><p>- Strong analytical skills with the ability to collect, organize, review significant amounts of information.<br/><br/></p><p>- Excellent presentation skills.<br/><br/></p><p>- Excellent written and verbal communication skills and ability to work in a team.<br/><br/></p><p>- Outstanding analytical and problem-solving skills</p><br/></p> (ref:hirist.tech)