Join a dynamic team as a Senior AI Engineer where you'll leverage your data engineering and MLOps expertise. This role is perfect for someone looking to work at the intersection of AI and data engineering, driving innovative solutions in a collaborative environment.
As a Senior AI Engineer at iSanqa, you will be part of a global IT Hub focused on enhancing the company's AI product portfolio. Your primary responsibility will be to design and build scalable data pipelines that support the machine learning lifecycle. This role is ideal for someone with a strong background in data engineering and MLOps, looking to make a significant impact in AI orchestration.
In your day-to-day work, you will automate MLOps workflows using AWS and Terraform, ensuring that machine learning models and multi-agent AI systems are efficiently deployed and managed. You will collaborate with other engineers and data scientists to create robust frameworks and tools that streamline processes and enhance productivity.
Key responsibilities include: • Designing and operating scalable data pipelines • Automating workflows for MLOps • Enabling next-generation AI agent architectures
To succeed in this role, you should have a solid understanding of data engineering principles and experience with MLOps practices. Familiarity with AWS and Terraform is essential, as these tools will be integral to your work. If you're passionate about bridging the gap between data engineering and AI, this position offers a unique opportunity to thrive in a forward-thinking environment.
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