- Location
- Chennai
- Type
- FullTime
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About Us:
With a legacy of over 30 years, Inspirisys has excelled in driving digital transformation through cutting-edge technologies and as a subsidiary of CAC Holdings Corporation Japan, we embrace the core tenets of Japanese work culture, prioritizing quality and attention to detail to ensure our solutions meet the highest standards. This expertise has solidified our position as a trusted partner for industry-leading OEMs in the digital age. We specialize in custom-tailored solutions in Infrastructure, Enterprise Security & Risk Services, Cloud, Banking and Product Engineering & Development, empowering clients to meet their digital objectives.
Requirements / Responsibilities:
• Should have 5 years of experience
• Should be able to build Analytics engines, Micro services
• Should have experience in Statistics (Hypothesis testing, Discriminant analysis, Linear/Logistic regression, PCA,Vector-analysis), Forecasting (Time Series), Machine Learning & AI (Classification, Clustering, Collaborating filtering, Neural Network), Multi-Media Analytics like Text mining(with sarcasm identification), video & voice analytics, Advanced Analytics like Deep Learning, Cognitive Analytics Customer journey analytics/mapping
• Intermediate/advanced knowledge of the cloud services, market segments, customer base and industry verticals.
• Demonstrated experience leading or developing high quality, enterprise scale software products using a structured system development life cycle.
• Setup Dev Ops for an analytical solution
• Apply design and data analysis techniques to organize the presentation of data in visually innovative ways in order to make it easier to understand, insightful, and actionable by end users.
• Apply knowledge of ML, statistics, programming and advanced mathematics to recognize patterns & identify new opportunities for prototype building.
• Design, develop, and evaluate predictive ML/AI models & define metrics that measure success and customer value delivery
• Work with engineers to translate prototypes into products, services, and provide guidelines to large-scale implementations
• Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL etc), programming (XML, JavaScript, or ETL frameworks)
• Should have strong analytical skills and strong understanding of ML concepts and algorithms