Assurance - RMS - Data and Analytics Engineering - QA Engineer – Associate

Responsibilities

Designing and implementing AI systems to transform raw data into actionable insights

Developing and deploying machine learning models using Python and TensorFlow

Collaborating with team members to integrate data pipelines and enhance data quality

Utilizing C++ and Java programming languages for software development and AI implementation

Conducting complex data analysis to identify patterns and inform decision-making

Building scalable data solutions that support business growth and client needs

Engaging in data wrangling and modeling to enable effective AI model deployment

Applying natural language processing techniques for text analytics and sentiment analysis

Leveraging open-source software to enhance AI and machine learning capabilities

Participating in client support activities to deliver value and drive project success

What You Must Have

At least a Bachelor's degree

Oral and written proficiency in English required

What Sets You Apart

Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics, Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics, Data Processing/Analytics/Science, Artificial Intelligence and Robotics

At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials

Demonstrating proficiency in Python and Java programming languages

Utilizing machine learning libraries such as TensorFlow and Scikit-Learn

Engaging in complex data analysis and pattern recognition

Applying AI implementation skills in client support environments

Developing data integration and data quality solutions