Applied AI ML Lead

Key Skills

Java Programming, Design, Python Programming, Azure, AWS, Scala Programming, Aartificial intelligence, Machine learning techniques, Natural Language Processing (NLP), Google Cloud Platform (GCP), MLOps tools

Job Description

The Digital Intelligence team’s mission is to utilize large-scale computation, true large-scale data set, and apply machine-learning to our most critical and wide-range customer products. The number of products and practice areas is large and far-reaching, i.e. we work on products that are impactful to our millions and millions of customers and households. We value our customers’ direct feedback and function in a truly agile way to incorporate changes to improve application experience.

As a Senior Machine Learning Engineer in our Digital Intelligence team, you will have the opportunity to work on exciting end-to-end machine learning problems and solutions. You will collaborate with us to solve large scale relevance and ranking problems, engineer scalable features, and engage in ML Ops work. Together, we will build brand new systems that benefit our millions of customers across all lines of business.

Job Responsibilities:

• Lead complex projects that require cross-organizational alignment and collaboration
• Analyze complex datasets used to make decisions regarding real-world applications
• Investigate the applicability of new approaches to business problems and products by combining theory and experimentation
• Write software code that is built and deployed in production systems
• Anticipate and consider risks when building machine learning solutions and prediction/classification systems
• Communicate complex issues clearly and credibly to consult on and approve team decisions while driving broader organizational actions.
• Work transparently cross-functionally and influence your peers to do the same.

 Required qualifications, capabilities and skills:

• Master’s degree with 7 + years of experience of or Ph.D. in Computer Science or Machine Learning related degree with good internships and about 2 + years of work experience
• Expert in one or more of the following: machine learning, Graph learning, recommendation systems, network analysis, Natural language processing, Reinforcement learning, MLOps
• Comfortable conducting design and code reviews
• Experience with leadership of experienced scientists as well as a record of developing junior members from academia/industry to a career track in a business environment

Preferred qualifications, capabilities and skills :

• A strong technical advocate with a background in Java or Scala, and Python.
• Comfortable working in a cloud environment like AWS/GCP or Azure
• Passionate about working with large unstructured and structured datasets

ABOUT US

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.

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.