Responsibilities · Build and manages automation pipelines to operationalize the machine learning platform and machine learning pipelines for fully automated CI/CD pipelines. · Strong ability to build statistical & machine learning modeling · Helps define product features, drives the system architecture, and spearheads the best practices that enable a quality product. · Emphasis is on end-to-end delivery of analysis · Contribute to how analytical approach is structured for specification of analysis · Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems · Participate in design of analysis and modelling approach with managers and modelers · Extremely comfortable working with data, including managing large number of data sources, analyzing data quality, and pro-actively working with client’s data/ IT teams to resolve issues Qualifications Required skills: Advanced R or Python programming 6+ years of experience in reliably and efficiently developing predictive models including machine learning 4+ years of experience managing / working in teams and delegating project specific responsibility for seamless delivery Strong interpersonal skills to effectively interact with client/onshore personnel to understand data science requirements. Lead multiple modeling projects, able to challenge existing approach and recommend new advanced machine learning techniques Able to assign work and mentor existing resources on ML projects Experience in retail, e-commerce and BFSI domain is preferred. Master’s or Bachelor's degree in math, statistics, economics, computer engineering or related analytics field from a premier institute of India Proven track record in ML & Predictive analysis using technologies like Python, Spark. Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn) Experience with SnowFlake data platform and AWS platform Experience with Agile Methodology Reformulate highly technical information into concise, understandable terms for presentations Expertise in machine learning models for both supervised and unsupervised cases. Detailed model development experience (random forest models, XGBoost, advanced machine learning techniques) Able to present work (project status, data driven analysis) to client using Excel or PPT Have a proactive communication, lead multiple modeling projects, able to challenge existing approach and recommend new advanced machine learning techniques Able to assign work and mentor existing resources on modeling projects Strong record of achievement, solid analytical ability, and an entrepreneurial hands-on approach