What are my roles and responsibilities?
- 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).
- 3 to 4 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, R, XML parsing, Big Data, NoSQL and SQL.