Lead Artificial Intelligence

• Work with productbusiness owners to map business requirements into products productized solutions andor working prototypes of AI algorithms.
• Evaluate and compare algorithm performance based on large, real-world data sets.
• Mine massive amounts of data from various sources to gain insights and identify patterns using machine learning techniques and complex network analysis methods.
• Design and implement ML algorithms and models through in-depth research and experiment with neural network models, parameter optimization, and optimization algorithms.
• Work to accelerate the distributed implementation of existing algorithms and models.
• Conduct research to advance the state of the art in deep learning and provide technical solutions at scale for real world challenges in various scenarios.
• Establish scalable, efficient, automated processes for model development, model validation, model implementation and large scale data analysis.
• Ability to process large amounts of data in a distributed cloud environment.
• Strong knowledgeexperience of data extraction and data processing.
• Optimizing pre-existing algorithms for accuracy and speed.
• Flexible approach and ability to develop on new skills.
• Self-starter and able to manage multiple research projects.
• Team player and a good communicator.

What skills and experiences would I bring into this role?

• Ph.D. Master s degree B.Tech B.E. from an accredited collegeuniversity in Computer Science, Statistics, Mathematics, Engineering, or related fields (strong mathematicalstatistics background with the ability to understand algorithms and methods from a mathematical and intuitive viewpoint)
• 10 to 12 years of academic or professional experience in Artificial Intelligence and Data Analytics, Machine Learning, Natural Language ProcessingText mining or related field.
• Technical ability and hands on expertise in Python, Java, R, XML parsing, Big Data, NoSQL and SQL.