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.
Sabenza IT Recruitment is looking for a senior Machine Learning Engineer to lead the development of sophisticated AI systems. In this role, you will define and build agentic system architectures, leveraging tools like Amazon Bedrock and various agent frameworks. Your expertise will guide the technical strategy for model selection and fine-tuning, ensuring optimal performance and efficiency in AI applications.
Your day-to-day responsibilities will include designing and implementing containerized deployment standards using 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, as you conduct load testing and capacity planning to ensure systems operate smoothly under various conditions.
Additionally, you will establish MLOps practices, including CI/CD pipelines and model versioning, to streamline the integration of foundation models into enterprise workflows. This role is ideal for someone who enjoys providing technical leadership and mentorship, helping to shape the skills of junior team members while driving innovative projects forward.
To succeed in this position, you should have at least five years of experience in machine learning or a related field, with a strong understanding of system architecture and deployment practices. Your ability to balance technical strategy with hands-on implementation will be crucial in delivering high-quality AI solutions.
You'll be taken to the original listing on PNet to apply.