Senior Python ML Engineer - Applied AI ML Lead

Key Skills

Aartificial intelligence, Algorithms, Apache Airflow, Deep Learning, Elasticsearch, Employee life cycle, Kubernetes-K8s, Leadership Skill, Machine learning techniques, Natural Language Processing (NLP), Python Programming, Streaming APIs

Job Description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As an Applied AI ML Lead at JPMorgan Chase within the Asset Management Machine Learning Engineering team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives. You will partner with our Global Data Science teams to design, develop, deploy and operate machine learning driven applications and data pipelines.

Job responsibilities

• Building and operating highly sophisticated machine learning applications
• Designing production APIs & data delivery processes
• Integrating unstructured and timeseries data into production pipelines
• Collaborating with Devops engineers to plan and deploy data storage and processing systems, especially for text, timeseries or financial data
• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Develops secure high-quality production code, and reviews and debugs code written by others
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
• Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
• Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
• Adds to team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and advanced applied experience
• Experience building and operating pipelines for processing and ML inference for text, timeseries or financial data
• Advanced in one or more programming language(s); strong preference for Python
• Practical cloud native experience
• History of successfully collaborating with internal stakeholders and clarifying requirements
• Proven ability to iterate quickly
• Proficient in all aspects of the Software Development Life Cycle
• Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)

Preferred qualifications, capabilities, and skills

• Experience working with Kubernetes, Airflow (or similar schedulers) and Machine Learning frameworks
• Knowledge of Machine Learning algorithms such as common Deep Learning based Natural Language Processing (NLP) and Unsupervised Clustering
• Experience working with ElasticSearch

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.