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Job Description
We have an exciting and rewarding opportunity for you to take your AI Engineering career to the next level.
As a Applied AI ML Lead at JPMorgan Chase within Commercial and Investment Bank's Global Banking Tech Team, you will lead the development and deployment of scalable infrastructure for machine learning models. Your role will involve strategic planning, hands-on leadership, and collaboration with cross-functional teams to implement innovative solutions that enhance the firm's AI capabilities, with a strong emphasis on leveraging Databricks.
Job Responsibilities:
Required Qualifications, Capabilities, and Skills:
Preferred Qualifications, Capabilities, and Skills:
About Us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
About the Team
J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
We have an exciting and rewarding opportunity for you to take your AI Engineering career to the next level.
As a Applied AI ML Lead at JPMorgan Chase within Commercial and Investment Bank's Global Banking Tech Team, you will lead the development and deployment of scalable infrastructure for machine learning models. Your role will involve strategic planning, hands-on leadership, and collaboration with cross-functional teams to implement innovative solutions that enhance the firm's AI capabilities, with a strong emphasis on leveraging Databricks.
Job Responsibilities:
- Lead the design and implementation of scalable infrastructure for deploying machine learning models, utilizing Databricks and other cloud platforms.
- Collaborate with data scientists, engineers, and business stakeholders to understand requirements and deliver robust AI solutions.
- Develop and maintain CI/CD pipelines to automate the deployment and management of machine learning models.
- Ensure the scalability, performance, and reliability of deployed models, leveraging cloud infrastructure and best practices.
- Implement governance and security measures to ensure compliance with industry and regulatory standards.
- Stay up-to-date with industry trends and emerging technologies in MLOps, AI engineering, and Databricks.
- Provide training and support to teams on best practices in MLOps, AI deployment, and Databricks usage.
Required Qualifications, Capabilities, and Skills:
- Minimum 8+ years of experience as an MLE
- Extensive experience in ML Ops and AI engineering, with a focus on deploying scalable infrastructure for machine learning models.
- Experience in Databricks and cloud platforms such as AWS, Azure, or Google Cloud.
- Strong programming skills in Python and experience with CI/CD tools.
- Proven experience in leading teams and delivering AI solutions in an enterprise environment.
- Strong understanding of machine learning model deployment patterns and best practices.
Preferred Qualifications, Capabilities, and Skills:
- Experience with big data technologies and frameworks.
- Certification in Databricks, cloud platforms, or AI engineering is a plus.
- Experience working in agile development teams and using Object-Oriented programming languages.
About Us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
About the Team
J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
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