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 background in system architecture and a passion for integrating AI into real-world applications.
At Sabenza IT Recruitment, the team is dedicated to building cutting-edge AI solutions that leverage advanced technologies. As a Machine Learning Engineer, you will be at the forefront of defining and constructing agentic 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.
In your day-to-day work, you will design and implement containerized deployment standards using Docker and Kubernetes. This means you will be responsible for creating secure, low-latency networking solutions that facilitate smooth communication between models and services. Performance engineering will also be a key aspect of your responsibilities, including conducting load testing and planning for system capacity to ensure optimal performance.
You will also establish MLOps practices, which include setting up CI/CD pipelines and managing model versioning. This role is ideal for someone who enjoys integrating foundational models into enterprise workflows and tackling complex use cases. Your technical leadership will be crucial, as you will provide mentorship to junior team members and guide the team in best practices.
To succeed in this role, you should have at least five years of experience in machine learning and system architecture. A strong understanding of containerization and MLOps is essential, along with a proven track record in performance engineering. If you are passionate about AI and want to make a significant impact in a dynamic environment, this position could be a great fit for you.
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