Join Sabenza IT Recruitment as a Senior AI Engineer and lead the charge in building advanced AI systems. You'll work with cutting-edge technologies to design and implement robust architectures that enhance enterprise workflows.
Dynamic and forward-thinking
At Sabenza IT Recruitment, you'll be at the forefront of AI engineering, defining and building sophisticated system architectures. Your role will involve leveraging Amazon Bedrock and various agent frameworks to create agentic systems that meet complex business needs. You'll lead the technical strategy, making critical decisions on model selection and fine-tuning to ensure optimal performance.
Your day-to-day responsibilities will include designing and implementing containerized deployment standards using Docker and Kubernetes. You'll also focus on architecting secure, low-latency networking solutions for seamless model-to-service communication. Performance engineering will be a key aspect of your work, where you'll conduct load testing and capacity planning to ensure systems can handle real-world demands.
In addition to technical tasks, you'll establish MLOps practices, including CI/CD pipelines and model versioning, to streamline workflows and enhance productivity. This role is ideal for someone with a strong background in machine learning and system architecture, who enjoys mentoring others and leading technical initiatives.
Key requirements for this position include extensive experience with Amazon Bedrock, Docker, Kubernetes, and MLOps practices. A solid understanding of performance engineering principles will also be beneficial. If you're passionate about AI and looking to make a significant impact in a dynamic environment, this role could be a great fit for you.
You'll be taken to the original listing on PNet to apply.