Major responsibilities:
Exhibit solid understanding of the ML algorithms - especially Regressions & Clustering/Classification
Use machine learning, data mining and statistical techniques to create new, scalable solutions for business problems.
Analyze and extract relevant information from large amounts of historical business data to help automate and optimize key processes
Establish scalable, efficient, automated processes for large scale data analyses, model validation and model implementation
Should have done Successful ML implementations (R or Python, preferably Python) in production and supported them for sometime.
Educational Qualifications & Preferred Expertise for this role :
Btech/MS in CS, Machine Learning, Operational research, Statistics or in a highly quantitative field from any of the top technical university
Min 6+ years of industrial experience as Technical Architect in Big data/Machine Learning specially in predictive modeling and analysis, predictive software development
Implemented ML algorithms
To understands some of the crucial algorithms like - regressions, random forest, SVM, gradient descent, decision tree, etc
Experience in using any of the following extensively - Python or R.
Experience in mentoring junior team members, and guiding them on machine learning and data modeling applications
Min 4+ years of industrial experience in predictive modeling and analysis, predictive software development
Experience handling gigabyte and terabyte size datasets
Experience working with retail or e-commerce data
Strong Problem solving ability
Experience working with distributed systems and grid computing
Publications or presentation in recognized Machine Learning and Data Mining journals/conferences
Strong communication and data presentation skills
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