As a Machine Learning Engineer at Sabenza IT Recruitment, you'll be at the forefront of building advanced AI systems. This role is perfect for someone with a strong technical background who enjoys leading projects and mentoring others.
At Sabenza IT Recruitment, the focus is on creating cutting-edge AI solutions that leverage the latest technologies. As a Machine Learning Engineer, you will define and build sophisticated 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 the systems you develop are both efficient and effective.
You will be responsible for designing and implementing containerized deployment standards using Docker and Kubernetes. This includes architecting secure, low-latency networking for seamless model-to-service communication. Additionally, you will engage in systems-level performance engineering, which encompasses load testing and capacity planning to ensure that the systems can handle real-world demands.
A key aspect of your role will be establishing MLOps practices, including the development of CI/CD pipelines and model versioning. You will also integrate foundation models into enterprise workflows, tackling complex use cases that require innovative solutions. This position is ideal for someone with a strong technical background who enjoys taking the lead on projects and mentoring less experienced team members.
To succeed in this role, you should have at least five years of experience in machine learning engineering or a related field. Proficiency in Amazon Bedrock, Docker, Kubernetes, and MLOps is essential. If you are passionate about AI and eager to work in a collaborative and innovative environment, this position could be a great fit for you.
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