AI & IT Data Engineering

Role & responsibilities

Build algorithms/tools that provide unique insights into IT data

Model front-end and back-end data sources to help draw a more comprehensive picture

of various IT data sources and to enable powerful data analysis

Build data pipelines that clean, transform, and aggregate data from disparate sources.

Integrate AI and machine learning models into data pipelines to automate tasks and

derive insights

Build persona specific real time insights for IT & Business.

Develop models/intelligent solutions that can be used to make predictions and answer

questions for the overall business

Interpret trends and patterns in IT data

Conduct complex data analysis and report on results

Prepare data for prescriptive and predictive modelling

Explore ways to enhance data quality and reliability

Preferred candidate profile

Experience with Python, SQL, and data visualization/exploration tools

Experience in data visualization tools, ETL frameworks are must

Ability to orchestrate/automate the end-to-end process will be added advantage

Communication skills, especially for explaining technical concepts to

nontechnical business leaders

Ability to work on a dynamic, research-oriented team

Appetite to learn new tools/techniques/languages