As a Machine Learning Engineer at Sabenza IT Recruitment, you'll be at the forefront of designing and implementing advanced AI systems. This role is ideal for someone with a strong technical background and a passion for innovative solutions in machine learning.
Innovative and tech-driven
At Sabenza IT Recruitment, the team is dedicated to pushing the boundaries of artificial intelligence by developing sophisticated agentic systems. The role involves defining and building architectures that leverage Amazon Bedrock and various agent frameworks, ensuring that the solutions are both effective and efficient. You will lead the technical strategy for model selection and fine-tuning, making critical decisions that impact performance and usability.
Your day-to-day responsibilities will include designing and implementing containerized deployment standards using Docker and Kubernetes. You will also be tasked with architecting secure, low-latency networking for seamless model-to-service communication. Performance engineering is a key aspect of this role, where you will conduct load testing and capacity planning to ensure the systems can handle real-world demands.
In addition to technical tasks, you will establish MLOps practices, including CI/CD pipelines and model versioning, to streamline workflows and improve deployment processes. This position is well-suited for experienced professionals who thrive in a fast-paced environment and are eager to integrate foundation models into enterprise workflows for complex use cases.
To excel in this role, you should have a strong background in machine learning, system architecture, and cloud technologies. Your ability to provide technical leadership and mentorship will be crucial in guiding less experienced team members and fostering a collaborative work environment.
You'll be taken to the original listing on PNet to apply.