Software Engineering at JPMorgan Chase Bank, N.A. (Wilmington, DE)

ML Engineer

Employer Description

JPMorgan Chase & Co., 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. In accordance with applicable law, we make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as any mental health or physical disability needs.

Equal Opportunity Employer/Disability/Veterans

Job Description/Roles and Responsibilities

The ideal candidate will have analytical and system engineering skills to design and develop software solutions and capabilities enabling and supporting end to end AI/ML implementations deployed to public cloud platforms such as AWS. The candidate will use AI/ML SDLC to drive delivery of machine learning solutions based on sound design, with faster time to market and reduced costs.

Key roles and responsibilities:
* Working with CTO-OmniAI incubate and onboard new ML architecture and engineering blueprints.
* Form partnerships and collaborations across diverse teams to deliver cloud ML solutions.
* Drive ML workflow and deployment automation through data pipelines and process orchestration.
* Run machine learning tests and experiments
* Perform statistical analysis and fine-tuning using test results
* Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models.
* Ensure algorithms generate accurate user recommendations.
* Extend existing ML libraries and frameworks
* Research and implement appropriate ML algorithms and tools
* Develop machine learning applications according to requirements
* Select appropriate datasets and data representation methods
* Transform data science prototypes and applying appropriate ML algorithms and tools.
* Document machine learning processes.
* Keep abreast of developments in machine learning.
* Experience with high volume, mission critical applications, and building upon messaging and or event-driven architectures. Understanding of public cloud ML Platforms such as AWS Sagemaker.

This role requires a wide variety of strengths and capabilities, including:
* BS/BA degree in computer science or equivalent experience
* Knowledge or experience in implementing end to end machine learning solution in public cloud
* Ability to articulate to more experienced management a technical strategy in clear, concise, understandable terms
* Understanding of ML SDLC, delivery principles and tools
* Knowledge of industry-wide ML technology trends and best practices
* Keen understanding of software quality and rigor to reduce technical debt
* Experience working in large, collaborative teams to achieve organizational goals
* Passionate about building pragmatic and innovative machine learning solutions
* Experience with production support of highly available applications

Preferred Qualifications
* Extensive data modeling and data architecture skills
* Background in machine learning frameworks such as Scikit-Learn, TensorFlow, Pytorch
* Experience working in an Agile environment
* Advanced math skills (linear algebra, Bayesian statistics, group theory)

* Strong written and verbal communications
* Excellent technical, problem-solving and communication skills
* Programming experience in Python, Java, React
* Experience with Spring, Messaging, Docker/Kubernetes, AWS Sagemaker
* Knowledge of monitoring systems such as Datadog, CloudWatch
* Has followed best practices that span the software development life cycle (from requirements definition through specification, design, coding, quality assurance, implementation, integration, launch, and production support).
* Work ethic based on a strong desire to meet\\exceed expectations.
* Has worked successfully in a very fast-paced, results-oriented environment.
* Used data and metrics to drive the right outcome.
* Addressed issues related to cloud on-boarding and deployments.
* SRE mindset Culture/Approaches: To run better production systems by creating ML solutions to prevent/mitigate operational problems.

JPMorgan Chase & Co., 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. In accordance with applicable law, we make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as any mental health or physical disability needs.

Equal Opportunity Employer/Disability/Veterans

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