Leading the design and development of AI systems to transform raw data into actionable insights
Managing complex data analysis and data wrangling to support AI model scalability
Implementing machine learning libraries and algorithms to enhance data-driven decision-making
Developing and maintaining data infrastructure and pipelines for seamless data integration
Utilizing programming languages such as Python and C++ to build robust software solutions
Overseeing the deployment of AI and machine learning solutions at scale
Coaching and mentoring team members to leverage their strengths and deliver quality outcomes
Validating project planning, budgeting, and execution to meet client expectations
Addressing conflicts and engaging in critical conversations with stakeholders
Promoting innovation and embracing change to drive business growth and success

At least a Bachelor's degree
At least 8 years of experience
Oral and written proficiency in English required
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 AI implementation and machine learning libraries
Utilizing advanced data modeling and data integration techniques
Excelling in complex data analysis and pattern recognition
Leading teams in developing innovative AI solutions
Embracing change and fostering a culture of continuous improvement

Manager, QA Engineer – Data and Analytics Engineering

Key skills