Primary responsibility is for building the Learning / Predictive Platform.
Technical architect will develop the entire technical plan of the platform. Also manage risk identification and risk mitigation strategies associated with the architecture.
Understand, analyze, conceptualize and work on the Technical design and implementation of AI framework and its features. Guide the team to carry out the design and the implementation of algorithm for AI.
He will also look closely at how IT functions can be centralized so that departments across the company can work together seamlessly. Make sure that the architecture is not only the right one for operations but also for deployment.
Experience in implementing and deploying Machine Learning solutions (using various models, such as Linear/Logistic Regression, Support Vector Machines, (Deep) Neural Networks, Hidden Markov Models, Conditional Random Fields, Topic Modeling, Game Theory, Mechanism Design, etc.)
Extensive background in statistical analysis and modeling (distributions, hypothesis testing, probability theory, etc.). Strong hands-on experience with statistical packages and ML libraries (e.g. R, Python scikit learn, Spark MLlib, etc.)
Experience in effective data exploration and visualization (e.g. Excel, Power BI, Tableau, Qlik, etc.).
As the project technical leader, has the project practical experience, and has experience of leading team to complete the delivery of AI product.
Identify and interact with stakeholders to make sure their needs are being met.
Designed for B2B sales and marketing professionals and executives, xiQ uses a combination of patented technologies to gather massive amounts of information and data from the internet, social media, public records and hundreds of industry-specific sources.