Job Description

Keyskills : Programming, Machine Learning, Artificial Intelligence, Data Science, Business Analytics, Product engineering, Requirement gathering, Problem formulation, quick POCs Responsibilities To help designing, innovating and building our next generation ML architecture Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams Teach and mentor others in the use of AI/Machine Learning Must-Have : Experience in data mining Strong math skills (e.g. statistics, algebra) Strong programming skills in R, Python and familiarity with Java, Scala, C++ DB/NoSql MongoDB, Neo4J, MySql. Cassandra, DynamoDB, Redshift Experience on Hadoop Map Reduce, Pig, Hive, Mahout and Apache Spark, H20 Strong experience in Data warehousing, ETL, BI (e.g. Tableau, Power BI) and Data Visualization tools (matplotlib, D3.js, Plotly.js, Shiny etc) Experience in neural networks, regression, classification and clustering Think big & scale Good to have : Experience with Deep Learning tools Tensorflow, Theano, Caffe etc. Elastic Search, NLP background and Machine Learning Platforms Experienced in deployment of High performance, Scalable Big Data Hadoop clusters and Web applications on cloud infrastructure (Azure, AWS, Bluemix etc)

More Info

Education