Expert Software Engineer – AI DevOps

About this kind of role

What a Expert Software Engineer – AI DevOps usually does. The employer's own details are in the listing.

Typically does: Designs, develops, tests, and maintains software solutions, often with a focus on artificial intelligence and machine learning applications. This role involves automating and streamlining the software development lifecycle, integrating AI models into production environments, and ensuring the reliability and scalability of AI-powered systems. Collaboration with data scientists, machine learning engineers, and other developers is common to deliver robust and efficient AI solutions. Troubleshooting and resolving complex technical issues related to AI deployment and infrastructure are also key responsibilities.

Tools and skills: Proficiency in programming languages like Python, experience with cloud platforms (AWS, Azure, or Google Cloud), DevOps tools (Docker, Kubernetes, Jenkins), and familiarity with machine learning frameworks (TensorFlow, PyTorch) are generally required.

Good fit for: Individuals with a strong background in software engineering and a passion for artificial intelligence, automation, and building scalable systems often thrive in this role.