Join a dynamic FinTech company as a Machine Learning Engineer and contribute to innovative AI solutions. You'll work closely with the Decision Science team, implementing best practices in MLOps and making a real impact on the business.
As a Machine Learning Engineer at this forward-thinking FinTech company, you'll be part of the Decision Science team, focusing on developing and implementing machine learning solutions. Your work will involve leveraging modern technologies to drive AI initiatives that have a significant impact on the business.
In this role, you will be responsible for implementing MLOps best practices, which include continuous integration and delivery (CI/CD), testing, version control, monitoring, and orchestration. You'll also work with various MLOps tools and platforms to ensure efficient experiment tracking and model monitoring.
This position is ideal for someone with a strong background in machine learning and a passion for applying data-driven solutions in a fast-paced environment. You should be comfortable working with cloud technologies and have experience in deploying machine learning models effectively.
Key responsibilities include: • Implementing MLOps best practices • Managing CI/CD pipelines for machine learning models • Conducting testing and version control • Monitoring model performance and orchestration of workflows
If you're looking to make a tangible impact in a data-driven company and enjoy working with cutting-edge technologies, this role could be a great fit for you.
You'll be taken to the original listing on PNet to apply.