Software Engineer III, AWS and Machine Learning

Key Skills

Aartificial intelligence, Amazon Elastic Compute Cloud-EC2, Amazon Simple Storage Service (S3), Apache Hadoop, AWS, AWS Sagemaker, Big Data Technology, Design, Effective communication skills, Machine learning techniques, NumPy, Pandas, Python Programming, SciPy, Shell Scripting language, SPARK Programming, TensorFlow, Unix Operating system, XGBoost

Job Description

This is a Development and ops role and you will be a hands-on technical member of the ML engineering team and will work closely with the Modeling team and other technology team members within the firm. It is expected to work on multiple business use case and implement robust framework with flexibility to easily integrate new features and dimensions. Apart from working and supporting the model development activities, the team also manages the model development infrastructure and provision ML software, libraries, packages and tools required for ML model development.

You must be a talented programmer with the skills listed below and a proactive problem solver. In addition, you must exhibit a thorough understanding of model implementation, data manipulation, distributed processing, application development, and automation. 

Job responsibilities

• Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
• Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
• Identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
• 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 pipeline and using Terraform(Infrastrucure as Code).
• Designs and develops of tools to Support machine learning platform for critical CCB Risk and Fraud models.
• Implements performance tuning EMR jobs and best practices in spark job development.
• Enables distributed machine learning techniques on Xgboost, TensorFlow, Scikit learning using EMR RAPIDS, Spark, Dask and Sagemaker.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 3+ years applied experience
• Hands-on practical experience in system design, application development, testing, and operational stability
• Proficient in coding in one or more languages
• 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 in AWS-EC2, S3, EMR and Sagemaker to migrate the machine learning models from Hadoop 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 migrating Spark applications from Bigdata Hadoop platform to AWS Cloud using AWS EMR, S3 Buckets, EBS, Lambda and EC2 Instances.
• Hands on experience in application development using EC2, S3, EMR, Lamdba. Provision AWS resources into multiple cloud accounts through automated pipeline using Terraform.
• Experience in the AWS platform monitoring tools like Cloudwatch, Datadog for monitoring the utilization and in setting up the thresholds and performance alerts.
• Hands on experience in developing automation scripts using Python and Unix Shell Scripting.
• Good communication skills

Preferred qualifications, capabilities, and skills

• 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

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 and perspectives that 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. (If you are a US or Canadian applicant with a disability and wish to request an accommodation to complete the application process, please contact us by calling the Accessibility Line (US and Canada Only) 1-866-777-4690 and indicate the specifics of the assistance needed.)

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set, and location. For those in eligible roles, we offer discretionary incentive compensation which may be awarded in recognition of firm performance and 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.

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