Sr. Data & AI Application Engineer

About this kind of role

What a Sr. Data & AI Application Engineer usually does. The employer's own details are in the listing.

Typically does: Designs, develops, and implements data and artificial intelligence applications, often focusing on machine learning models and their integration into existing systems. This role involves working with large datasets, building pipelines for data processing, and ensuring the performance and scalability of AI solutions. They may also be responsible for evaluating new technologies and methodologies to improve data science capabilities. Collaboration with data scientists, engineers, and business stakeholders is a key aspect of the work.

Tools and skills: Proficiency in programming languages like Python or Java, experience with machine learning frameworks (TensorFlow, PyTorch), cloud platforms (AWS, Azure, Google Cloud), and database technologies (SQL, NoSQL) is generally required, alongside strong analytical and problem-solving skills.

Good fit for: Individuals with a strong technical background in data science and software engineering, who enjoy tackling complex challenges and building innovative solutions, often thrive in this role.