Join a dynamic team as a Senior AI Engineer, where you'll leverage your data engineering and MLOps expertise to enhance AI systems. This role is perfect for those looking to work at the intersection of data and AI, driving innovation in a collaborative environment.
As a Senior AI Engineer at iSanqa, you will be part of a global IT Hub dedicated to advancing AI technologies. Your role will focus on bridging the gap between data engineering and AI orchestration, ensuring that the machine learning lifecycle is efficient and effective. You will work on the 'Fabric' product portfolio, which aims to provide robust frameworks for deploying and managing AI models at scale.
In your day-to-day work, you will design and build scalable data pipelines that support the needs of AI systems. You will also automate MLOps workflows using AWS and Terraform, which are essential for streamlining the deployment and management of machine learning models. This position requires a strong understanding of both data engineering and AI technologies, making it ideal for someone with experience in these areas.
Key responsibilities include: • Designing and implementing data pipelines • Automating MLOps workflows • Collaborating with cross-functional teams to enhance AI capabilities • Managing and orchestrating AI models and systems
This role suits experienced professionals who are passionate about AI and data engineering. If you thrive in a collaborative environment and are eager to work with cutting-edge technologies, this position could be a great fit for you. Strong skills in AWS and Terraform are essential, along with a solid background in data engineering and MLOps.
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