AI Engineer Manager, Commercial Technology & Innovation

What you'll do

• Design and implement AI systems to transform raw data into actionable business insights.
• Lead teams in developing and deploying scalable machine learning solutions.
• Perform advanced data wrangling and manage infrastructure to improve data quality and accessibility.
• Develop AI software using programming languages such as Python and C++.
• Create and maintain automated data pipelines and modeling processes.
• Train models using libraries like TensorFlow and Scikit-Learn for large-scale deployment.
• Manage project lifecycles including planning, budgeting, execution, and completion.
• Mentor team members to develop technical skills and encourage professional growth.

What we're looking for

• At least a Bachelor's degree.
• At least 5 years of experience.
• Preference for a degree in Analytics/Data Science, AI/Robotics, Computer Science/Information Systems, or Engineering (preferred).
• Certifications in data engineering, machine learning, and cloud platforms like AWS, Google Cloud, Microsoft Azure, Databricks, or Snowflake (preferred).
• Proficiency in implementing AI and using machine learning libraries such as TensorFlow and Scikit-Learn (preferred).
• Experience utilizing Python and C++ for complex data analysis and modeling (preferred).
• Excellence in data integration, infrastructure management, and project leadership with strategic planning (preferred).
• Ability to implement neural networks and reinforcement learning agents (preferred).