Description

Job Description : - We are looking for some Data scientists well versed with all ML and Deep learning Algorithms . - The role is not for freshers in Data science - but kind of people with min 3+ yrs in data science and overall 5+ yrs exp - Overal 3-5 yrs exp in data science Experience using Python to manipulate data and draw insights from large data sets. - Familiarity with NLP/ML tools and packages like Caffe, pyTorch, TensorFlow, Weka, scikit-learn, nltk, etc. LSTM - Single and Multivariate time-series forecasting Data Mining Information/knowledge extraction from structured/unstructured text (knowledge or statistics based) - In-depth knowledge of machine learning algorithms and ability to apply them in data driven natural language processing systems. Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks) and their real-world advantages/drawbacks. - Understanding of relational databases like SQL, Mongo DB( Knowledge of Mongo DB would be an added advantage) Information retrieval tools such as ElasticSearch, Lucene, Solr - Must have thorough mathematical knowledge of correlation/causation, decision trees, classification and regression models, recommenders, probability and stochastic processes, distributions, priors and posteriors. Should be strong in communication skills A high level of attention to detail, excellent follow through, andreliability

Role and Responsibilities

• Job Description : - We are looking for some Data scientists well versed with all ML and Deep learning Algorithms . - The role is not for freshers in Data science - but kind of people with min 3+ yrs in data science and overall 5+ yrs exp - Overal 3-5 yrs exp in data science Experience using Python to manipulate data and draw insights from large data sets. - Familiarity with NLP/ML tools and packages like Caffe, pyTorch, TensorFlow, Weka, scikit-learn, nltk, etc. LSTM - Single and Multivariate time-series forecasting Data Mining Information/knowledge extraction from structured/unstructured text (knowledge or statistics based) - In-depth knowledge of machine learning algorithms and ability to apply them in data driven natural language processing systems. Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks) and their real-world advantages/drawbacks. - Understanding of relational databases like SQL, Mongo DB( Knowledge of Mongo DB would be an added advantage) Information retrieval tools such as ElasticSearch, Lucene, Solr - Must have thorough mathematical knowledge of correlation/causation, decision trees, classification and regression models, recommenders, probability and stochastic processes, distributions, priors and posteriors. Should be strong in communication skills A high level of attention to detail, excellent follow through, andreliability