Software Engineer (Data Analytics), AI & Data Platforms (AiDP)

About this kind of role

What a Software Engineer (Data Analytics), AI & Data Platforms (AiDP) usually does. The employer's own details are in the listing.

Typically does: Designs, develops, and tests software solutions focused on data analytics and artificial intelligence. This often involves building data pipelines, creating machine learning models, and developing tools for data visualization and reporting. They collaborate with data scientists and other engineers to implement data-driven solutions and improve existing systems. A key responsibility is ensuring the scalability, reliability, and performance of data platforms.

Tools and skills: Proficiency in programming languages like Python or Java, experience with big data technologies such as Hadoop or Spark, and familiarity with machine learning frameworks like TensorFlow or PyTorch are common.

Good fit for: Individuals with a strong analytical mindset, a passion for working with data, and the ability to translate complex business requirements into technical solutions typically thrive in this role.