As a Machine Learning Engineer at Sabenza IT Recruitment, you'll be at the forefront of developing advanced AI systems. This role is perfect for someone with a strong background in system architecture and a passion for integrating AI into real-world applications.
At Sabenza IT Recruitment, the team is dedicated to building advanced AI systems that leverage the latest technologies. As a Machine Learning Engineer, you will define and construct agentic system architectures, primarily using Amazon Bedrock and various agent frameworks. Your role will involve leading the technical strategy for model selection and fine-tuning, ensuring that performance trade-offs are well understood and managed.
Your day-to-day responsibilities will include designing and implementing containerized deployment standards with Docker and Kubernetes. You'll also be tasked with architecting secure, low-latency networking solutions for effective model-to-service communication. Performance engineering will be a key focus, where you'll conduct load testing and capacity planning to ensure systems operate efficiently under various conditions.
In addition to technical tasks, you will establish MLOps practices, including CI/CD pipelines and model versioning, to streamline the deployment and maintenance of machine learning models. This role suits someone with a strong technical background who enjoys mentoring others and leading projects. You will be expected to integrate foundation models into enterprise workflows, tackling complex use cases that require innovative solutions.
To thrive in this position, you should have substantial experience in machine learning and system architecture, along with a solid understanding of deployment technologies like Docker and Kubernetes. A proactive approach to problem-solving and a passion for AI will help you succeed in this dynamic environment.
You'll be taken to the original listing on PNet to apply.