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.
Skills : - Data Science, R Programming and Python