Machine Learning Engineer

Are you passionate about using cutting-edge technology to drive business decisions? Do you have a strong background in machine learning and a knack for problem-solving? Do you thrive in a fast-paced and dynamic environment? If so, then we have the perfect opportunity for you as a Machine Learning Engineer at Chase Bank.As a Machine Learning Engineer at Chase Bank, you will be a key member of our data science team, working on projects that have a direct impact on the company's success. You will be responsible for developing, testing, and deploying machine learning models to help us make data-driven decisions and improve customer experience.To excel in this role, you must have a strong understanding of machine learning algorithms and techniques, as well as experience with data analysis and programming languages such as Python, R, or Java. A background in finance or banking is preferred, but not required.If you are driven, collaborative, and have a passion for using machine learning to solve complex problems, then we want to hear from you. Join our team at Chase Bank and help us revolutionize the way we use data to serve our customers better.

1. Develop, test, and deploy machine learning models to support business decisions and improve customer experience.
2. Collaborate with cross-functional teams to identify and prioritize business needs and data science projects.
3. Use cutting-edge technology and techniques to analyze large datasets and identify patterns and trends.
4. Proactively identify areas for improvement and make recommendations for new machine learning applications and methods.
5. Stay up-to-date with industry trends and advancements in machine learning and data science to continuously improve our processes and models.
6. Work closely with data engineers to ensure data quality and accessibility for machine learning projects.
7. Translate business problems into machine learning solutions and communicate findings and insights to non-technical stakeholders.
8. Monitor and maintain the performance of machine learning models and make necessary adjustments to ensure accuracy and efficiency.
9. Collaborate with other data scientists and engineers to develop best practices and standards for machine learning projects.
10. Contribute to a culture of continuous learning and knowledge sharing within the data science team.
11. Adhere to data privacy and security protocols to protect sensitive customer information.
12. Provide technical guidance and support to team members and assist in their professional development.

According to JobzMall, the average salary range for a Machine Learning Engineer in Plano, TX, USA is $129,000-$145,000 per year.

JPMorgan Chase Bank, N.A., doing business as Chase Bank, is a national bank headquartered in Manhattan, New York City, that constitutes the consumer and commercial banking subsidiary of the U.S. multinational banking and financial services holding company, JPMorgan Chase.