CTO - Machine Learning based Products
Overview
As VP of Engineering/CTO you will take charge of this green-field project and start from scratch right from building the Engine’s Architecture, Product Road-map, Data Platform & Structure, Data Analytics, Data Mining strategies, Implement Recommendation Algorithms, Implement Machine Learning on a large Data set to deliver personalization.
Responsibilities
• Apply machine learning methods on large data sets
• Run experiments with new algorithms and scale it up to large number of data points
• Work with other stakeholders and prioritize data/ML initiatives across the product
• Focus on user impact and how to build a better product
• Be proactive and constantly pay attention to the scalability, performance and availability of our systems
• Take an active interest in our features and our user happiness
• Stay up to date on current data engineering trends, in particular distributed systems and large scale machine learning
Requirements
• PhD or MS Computer Science, in Algorithms, Data Analytics, Machine Learning or related fields
• Strong Product Architecture & Development experience
• Theoretical knowledge of Mathematical Modeling/Discrete Mathematics
• Expertise on Information Extraction and Bid Data frameworks like Hadoop
• C/C++ Programming skills. Python, PHP/Java knowledge will be a plus
• Experience of using tools like Matlab, SAS, SPSS
• Experience managing teams of engineers
Interested prospects, do write to me at [email protected] for a confidential conversation.
As VP of Engineering/CTO you will take charge of this green-field project and start from scratch right from building the Engine’s Architecture, Product Road-map, Data Platform & Structure, Data Analytics, Data Mining strategies, Implement Recommendation Algorithms, Implement Machine Learning on a large Data set to deliver personalization.
Responsibilities
• Apply machine learning methods on large data sets
• Run experiments with new algorithms and scale it up to large number of data points
• Work with other stakeholders and prioritize data/ML initiatives across the product
• Focus on user impact and how to build a better product
• Be proactive and constantly pay attention to the scalability, performance and availability of our systems
• Take an active interest in our features and our user happiness
• Stay up to date on current data engineering trends, in particular distributed systems and large scale machine learning
Requirements
• PhD or MS Computer Science, in Algorithms, Data Analytics, Machine Learning or related fields
• Strong Product Architecture & Development experience
• Theoretical knowledge of Mathematical Modeling/Discrete Mathematics
• Expertise on Information Extraction and Bid Data frameworks like Hadoop
• C/C++ Programming skills. Python, PHP/Java knowledge will be a plus
• Experience of using tools like Matlab, SAS, SPSS
• Experience managing teams of engineers
Interested prospects, do write to me at [email protected] for a confidential conversation.
- Machine Learning Search Specialist
- Posts: 3
- Joined: Wed Mar 26, 2014 8:00 am
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