Software engineer 1 – AI/ML Engineer (MLOps)

About this kind of role

What a Software engineer 1 – AI/ML Engineer (MLOps) usually does. The employer's own details are in the listing.

Typically does: Software Engineers specializing in Artificial Intelligence and Machine Learning, often with a focus on MLOps, build, test, and deploy machine learning models. They work to automate and streamline the machine learning lifecycle, ensuring models are reliable and scalable. This includes developing pipelines for data ingestion, model training, and model deployment. They also monitor model performance and implement improvements.

Tools and skills: Proficiency in programming languages like Python, experience with machine learning frameworks such as TensorFlow or PyTorch, and familiarity with cloud platforms (like AWS, Azure, or Google Cloud) and DevOps principles are common.

Good fit for: Individuals with a strong analytical background and a passion for both software engineering and machine learning are often successful in this role.