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 the development of scalable machine learning solutions and models.
• Apply advanced data wrangling techniques to support large-scale AI model deployment.
• Develop AI software using programming languages such as Python and C++.
• Manage data infrastructure, integration, and the maintenance of data pipelines.
• Utilize machine learning libraries like TensorFlow and Scikit-Learn for model training.
• Conduct complex data analysis to drive informed decision-making and business growth.
• Mentor team members to develop their technical skills and encourage professional growth.

What we're looking for

• At least a Bachelor's degree or equivalent specialized training and experience is required.
• At least 5 years of experience is required.
• Proficiency in Python and C++ for AI software development and complex data analysis (preferred).
• Experience with machine learning libraries such as TensorFlow and Scikit-Learn (preferred).
• Expertise in data wrangling, infrastructure management, and pipeline maintenance (preferred).
• Knowledge of neural networks and reinforcement learning agents (preferred).
• Certifications in data engineering, machine learning, or cloud platforms like AWS, Azure, or Google Cloud (preferred).
• A Bachelor's degree in Analytics, Data Science, AI, Robotics, Computer Science, Information Systems, or Engineering (preferred).