AI Manager/Lead - Lead Data Engineer II

About this kind of role

What a AI Manager/Lead - Lead Data Engineer II usually does. The employer's own details are in the listing.

Typically does: Manages and leads teams focused on artificial intelligence and machine learning initiatives. This includes overseeing the development, implementation, and maintenance of AI models and algorithms. Responsibilities often involve strategic planning, resource allocation, and ensuring alignment with business goals. They may also research and evaluate new AI technologies and techniques.

Tools and skills: Proficiency in programming languages like Python and R, experience with machine learning frameworks such as TensorFlow or PyTorch, and familiarity with cloud computing platforms (e.g., AWS, Azure, Google Cloud) are common, alongside strong data engineering skills and leadership abilities.

Good fit for: Individuals with a strong technical background in AI and data engineering, combined with excellent communication and leadership skills, typically thrive in this role.