Software Engineer II- AWS / Machine Learning

Job Description
You're ready to gain the skills and experience needed to grow within your role and advance your career - and we have the perfect software engineering opportunity for you.
As a Software Engineer II, AWS / Machine Learning at JPMorgan Chase within the Corporate Sector-Consumer and Community Banking (CCB) Risk, you are part of an agile team that works to enhance, design, and deliver the software components of the firm's state-of-the-art technology products in a secure, stable, and scalable way. As an emerging member of a software engineering team, you execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role. This Risk Quantitative Development (RQD) Model Implementation team helps modelers implement their models into production. Our activities include perform hands-on coding primarily using spark and python to implement complex regulatory or risk models in production. This team is also responsible for enabling ML capabilities on AWS.
Job responsibilities

• Executes standard software solutions, design, development, and technical troubleshooting
• Contributes in a development and ops role as a hands-on technical member of the ML engineering team and works closely with Modeling and other Technology teams within the firm
• Supports the model development activities team, manages model development infrastructures and provisions ML software, libraries, packages and tools required for ML model development
• Writes secure and high-quality code using the syntax of at least one programming language with limited guidance
• Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
• Designs and sets up Machine Learning platform infrastructure to develop and train machine learning models for Risk and Fraud
• Sets up ML tools on AWS infrastructure through automated pipelines and using Terraform (Infrastrucure as Code)
• Designs and develops tools to Support machine learning platforms for critical CCB Risk and Fraud models
• Enables distributed machine learning techniques on Xgboost, TensorFlow, Scikit learning using EMR RAPIDS, Spark, Dask and Sagemaker
• Applies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation
• Learns and applies system processes, methodologies, and skills for the development of secure, stable code and systems

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 2+ years applied experience
• Hands-on practical experience in system design, application development, testing, and operational stability
• Proficient in coding in one or more languages including Python or Java
• Experience with Machine Learning model development
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
• Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
• Hands on experience with AWS-EC2, S3, EMR and Sagemaker to migrate machine learning models to AWS
• Should have good understanding and knowledge in planning and managing AWS Cloud infrastructure and enabling necessary platform security by using best in class Cloud Security Solutions
• Hands on experience in application development using EC2, S3, EMR, Lamdba
• Experience provisioning AWS resources into multiple cloud accounts through automated pipelines using Terraform
• Experience with AWS platform tools like Cloudwatch, Datadog for monitoring utilization and for setting up thresholds and performance alerts

Preferred qualifications, capabilities, and skills

• Familiarity with modern front-end technologies
• Hands on experience in migrating Spark applications from Bigdata Hadoop platforms to AWS Cloud
• Experience in the design, implementation, and support of advanced machine learning tools such as Anaconda packages, XGboost, Scipy, numPy, Pandas, and Tensorflow to support model development

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 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
About the Team
Our Corporate Technology team relies on smart, driven people like you to develop applications and provide tech support for all our corporate functions across our network. Your efforts will touch lives all over the financial spectrum and across all our divisions: Global Finance, Corporate Treasury, Risk Management, Human Resources, Compliance, Legal, and within the Corporate Administrative Office. You'll be part of a team specifically built to meet and exceed our evolving technology needs, as well as our technology controls agenda.