Architect - Machine Learning

Responsibilities:

• Solution building – conceptualizing, architecting and designing solutions
• Translate business use cases to leading solution architecture
• Client facing – articulating solutions to the client stakeholders
• Create technical assets – building frameworks and IP’s
• Team influencer – create tech teams and coach them in architecture
• Design solutions for scalability, availability and performance
• Deep understanding of algorithms, data structure

Primary Skills:

• Experience implementing ML algorithms such as Logistic Regression, Naive Bayes, Bayesian Network, Decision Tree, Neural Network, SVM, Random Forest, convex optimization, transfer learning.
• Experience performing selection bias mitigation, ROC analysis, field performance analysis, data mining
• Experience in frameworks such as Spark, Lucene or EMR to implement real-time ML systems
• Experience working on some cognitive systems in any platform - Azure / IBM / etc.,
• Experience programming with Python / Java / C#
• Experience with SQLs (MySQL/Oracle/SQL Server) and designing data models
• Experience leading product development teams
• Experience working in Agile/DevOps model of development
• Experience understanding requirements and translating to design

Qualification:

• Bachelor's degree in Computer Science or allied fields in Engg
• Maximum of 12 years of overall experience, with at least 5 years of experience in architecting solutions with minimum 3 years with Big Data stack & cloud applications
• Experience in developing software products/platforms (Big Data, Cloud, Data Science) experience shall be added advantage