Join a dynamic team as a Senior Machine Learning Engineer, where you'll build and optimize machine learning pipelines for a financial services client. This role is perfect for someone passionate about leveraging AI and MLOps in a fast-paced environment.
As a Senior Machine Learning Engineer at Psybergate, you will play a crucial role in developing reusable machine learning pipelines tailored for a financial services client. Your expertise in MLOps and CI/CD will be essential as you work to integrate automated testing, monitoring, and governance into the machine learning lifecycle. Staying updated with the latest trends in AI and cloud technologies will be part of your daily routine, ensuring that the solutions you build are cutting-edge and efficient.
In this role, you will be responsible for: • Building and maintaining machine learning pipelines • Implementing MLOps practices to streamline operations • Collaborating with cross-functional teams to ensure seamless integration of machine learning solutions • Monitoring and optimizing the performance of deployed models
This position is ideal for someone with a strong background in machine learning and a passion for innovation. You should have at least five years of experience in the field, along with relevant certifications in DevOps or MLOps. Your ability to work in a fast-paced environment and adapt to new technologies will be key to your success in this role. If you are eager to make an impact in the financial sector through advanced machine learning techniques, this opportunity is for you.
You'll be taken to the original listing on PNet to apply.