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Navi Mumbai, Hyderabad
3 - 7 years
{{200000 / ('' == 'MONTH' ? 12 : 100000) | number}} - {{500000 / ('' == 'MONTH' ? 12 : 100000) | number}} {{'' == 'MONTH' ? '/mo' : 'lpa'}}

Skills

Data Science
R Programming
Python

Job description

Primary Skills : - B.Tech/MS/PhD degree in Computer Science, Computer Engineering or related technical discipline with 3-4 years of industry experience in Data Science. - Proven experience of working on unstructured and textual data. Deep understanding and expertise of NLP techniques (POS tagging, NER, Semantic role labelling etc). - Experience working with some of the supervised/unsupervised learning ML models such as linear/logistic regression, clustering, support vector machines (SVM), neural networks, Random Forest, CRF, Bayesian models etc. The ideal candidate will have a wide coverage of the different methods/models, and an in depth knowledge of some. - Strong coding experience in Python, R and Apache Spark. Python Skills are mandatory. - Experience with NoSQL databases, such as MongoDB, Cassandra, HBase etc. - Experience of working with Elastic search is a plus. - Experience of working on Microsoft Azure is a plus although not mandatory. - Basic knowledge of Linux and related scripting like Bash/shell script. Role Description (Roles & Responsibilities) : - Candidate will research, design and implement state-of-the-art ML systems using predictive modelling, deep learning, natural language processing and other ML techniques to help meeting business objectives. - Candidate will work closely with the product development/Engineering team to develop solutions for complex business problems or product features. - Handle Big Data scale for training and deploying ML/NLP based business modules/chatbots.

About GEP Worldwide

GEP is a leading global provider of consulting, outsourcing and technology solutions to procurement and supply chain organizations at Fortune 500 and Global 2000 enterprises worldwide.

Founded

1999

Type

Products & Services

Size

250+ employees

Stage

Profitable
View company

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