As a Machine Learning Engineer at Sabenza IT Recruitment, you'll lead the development of advanced AI systems. This role is perfect for someone with a strong technical background and a passion for innovative solutions.
At Sabenza IT Recruitment, the team is dedicated to building cutting-edge AI solutions that leverage the latest technologies. As a Machine Learning Engineer, you will be responsible for defining and constructing agentic system architectures 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 will also architect secure, low-latency networking for effective model-to-service communication. Performance engineering is a key aspect of this role, where you will conduct load testing and capacity planning to ensure systems run smoothly under various conditions.
In addition to technical tasks, you will establish MLOps practices, including CI/CD pipelines and model versioning, which are essential for maintaining the integrity and efficiency of AI models. Integrating foundation models into enterprise workflows for complex use cases will also be part of your responsibilities. This role is ideal for someone with a solid background in machine learning and a desire to lead and mentor others in the field.
To succeed in this position, you should have at least five years of experience in machine learning or a related field. Strong skills in Amazon Bedrock, Docker, Kubernetes, and MLOps are essential. If you are passionate about AI and enjoy working in a dynamic, tech-focused environment, this opportunity could be a great fit for you.
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