Are you ready to lead the charge in transforming the financial services industry with cutting-edge AI and ML solutions? As a Vice President, Applied AI/ML Lead, you'll have the opportunity to tackle exciting business problems in commercial banking, payments, and financial services. Join our dynamic technology team and make a direct impact on global business operations.
As a Vice President, Applied AI/ML Lead in our technology team, you will leverage your expertise in machine learning, natural language processing, and deep learning to address complex challenges in commercial banking and financial services. You will work collaboratively with a team that values innovation and creativity, using your skills to develop and deploy machine learning models that drive business success.

Job Responsibilities:

• Build and train production-grade ML models on large-scale datasets for commercial banking use cases.
• Utilize data processing frameworks like Spark and AWS EMR for feature engineering with structured and unstructured data.
• Apply deep learning models such as CNN, RNN, and NLP (BERT) for tasks like entity resolution, forecasting, and anomaly detection.
• Build ML models across public and private cloud environments, including Kubernetes.
• Create end-to-end ML pipelines to transform applications and business processes into AI systems.
• Develop batch and real-time model prediction pipelines integrated with existing applications.
• Collaborate on large-scale data modeling experiments, evaluating against baselines, and extracting key insights.

Required qualifications, capabilities, and skills:

• 6+ years of experience as a Data Scientist.
• Advanced degree in Computer Science, Data Science, or a related field.
• Expertise in Python, PySpark, deep learning frameworks like TensorFlow, and MLOps.
• Experience designing and deploying scalable distributed ML models in production.
• Proficiency in analytics tools such as SQL, Presto, Spark, Python, and AWS suite.
• Familiarity with machine learning techniques and advanced analytics.

Preferred qualifications, capabilities, and skills:

• Experience with end-to-end pipelines using frameworks like KubeFlow and TensorFlow.
• Experience with crowd-sourced data labeling is a plus.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

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.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans