Be a part of team responsible for the development, validation, implementation, production launch of AI based products
Apply and inspire the adoption of advanced data science and analytics across the business
Design Machine Learning and Deep Learning pipelines for AI products and ensure the end to end deployment in collaboration with other teams
Explore and examine large quantities of data from multiple disparate sources and communicate the findings
Expert knowledge with a scripting language (e.g. Python), an object-oriented language (e.g. C++, Java) and a query language (e.g. SQL)
A passion for implementing coding best practices across a team
Ensure best practices for processing, cleansing, and verifying the integrity of data used for analysis and learning Quickly prototype solutions and build models to test feasibility of solution approach
Have regular stakeholder meetings to discuss and gather stakeholder requirements
Ability to communicate technical concepts and solutions at a level appropriate for technical and non-technical audiences
Familiarity with utilizing a clustered distributed data processing tool such as Hadoop, spark, Hive, etc
Experience with agile/scrum methodologies and its benefits of keeping scientists on track and iteratively delivering results
Background in experimental design
We are looking for
BSCS/Masters Degree in a relevant field preferred
5 to 7 Years experience
Skills:
Familiarity with utilizing a clustered distributed data processing tool such as Hadoop, spark, Hive, etc
Experience with agile/scrum methodologies and its benefits of keeping scientists on track and iteratively delivering results
Background in experimental design
Expert knowledge with a scripting language (e.g. Python), an object-oriented language (e.g. C++, Java) and a query language (e.g. SQL)
Ability to communicate technical concepts and solutions at a level appropriate for technical and non-technical audiences
