Software Engineer III, Artificial Intelligence/Machine Learning

Key Skills

Aartificial intelligence, AWS, Azure, Data Visualization, English Proficiency, Google Cloud Platform (GCP), Machine learning techniques, Natural Language Processing (NLP), Python Programming, SQL

Job Description

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Software Engineer III at JPMorgan Chase within the Infrastructure Platforms Team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

• Builds relationships with internal teams and clients and is passionate about unlocking value using AI and Machine learning
• Demonstrates intellectual curiosity for solving difficult problems
• Is a self-starter with technical knowledge and a hands on approach to using our data assets both efficiently and effectively
• Develop approaches for understanding each individual client and their behavior to deliver highly impactful ML models
• Develop, plan and execute analytical projects as an individual contributor and in teams.
• 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
• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems

Required qualifications, capabilities, and skills

• Formal training or certification on data mining, quantitative research techniques, theories, principles, and practices and 3+ years applied experience. Understanding of statistics, optimization and machine learning methodologies
• Experience in: SQL; Python; AWS, GCP or Azure
• Working with relational and non-relational databases; ML techniques including: regression, classification, time series, clustering, deep learning, hypothesis testing, cross validation, feature selection and feature extraction; NLP techniques including: topic modeling, entity extraction, summarization, and sentiment analysis;
• Working with machine learning and natural language processing libraries such as: scikit-learn, tensor flow, pandas, nltk,; and Building data pipelines and deploying ML models and data visualization techniques.
• Analytical thought leader - You can define the analytical agenda for projects, frame ambiguous business questions into analytical plans (e.g., assess data needs, source files, prepare data, create new features, evaluate quality, etc.), and execute.
• Leadership - Primary focus of building something of significance. Willingness to roll up sleeves and do whatever it takes to achieve the goals.
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages.

Preferred qualifications, capabilities, and skills

• Fluent in English

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. 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.