AI/ML Engineer

JPMorgan Chase & Co.

Jersey City, NJ, United States

2 months ago

Role details

Contract type

Temporary to permanent

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

10 years minimum

Compensation

$152,000.0 - $215,000.0

Working hours

Regular working hours

Job source

careerjet.com

Tech stack

Java (Programming Language) Artificial Intelligence Data Analysis Big Data Program Optimization Information Engineering Distributed Systems Monitoring of Systems Python (Programming Language) Machine Learning Standard Sql SQL Databases

+9 more

Enterprise Software Applications Model Validation Event Driven Architecture Information Technology Xgboost Apache Kafka Data Management Machine Learning Operations Stream Processing

Job description

Design, develop, and deploy AI/ML models for enterprise applications
Build and optimize machine learning pipelines and predictive models
Work with large-scale structured and unstructured datasets
Integrate ML models with distributed systems and streaming platforms
Collaborate with cross-functional teams including data engineering and business stakeholders
Improve model performance, scalability, and reliability
Support real-time analytics and event-driven architectures using Kafka
Participate in architecture discussions and technical strategy, Title: AI/ML Engineer Location: Jersey City, NJ (3 Days Onsite) Duration: 6 Months Responsibilities: The person who builds and owns the intelligence layer. Designs and imp…
16 hours ago
Apply easily

Requirements

We are seeking a highly skilled AI/ML Engineer with strong experience in Machine Learning, AI model development, and large-scale data processing. The ideal candidate should have 10+ years of overall IT experience with deep expertise in Python-based ML solutions, model optimization, and enterprise-grade data platforms. Candidates with prior experience at JPMorgan Chase (Ex-JPMC candidates) are highly preferred. Required Skills

Strong experience in AI/ML and Machine Learning model development
Expertise in Python programming
Hands-on experience with XGBoost and advanced ML algorithms
Experience working with Kafka for real-time data streaming
Strong SQL and data analysis skills
Working knowledge of Java
Experience building scalable ML pipelines and production-ready solutions
Strong understanding of data engineering and model deployment, * Prior experience working with financial services or banking clients
Ex-JPMC candidates strongly preferred
Experience with cloud platforms and MLOps is a plus
Familiarity with model monitoring and deployment frameworks

Keywords AI Engineer, ML Engineer, Machine Learning Engineer, Python, XGBoost, Kafka, SQL, Java, AI/ML, Predictive Analytics, Data Engineering, MLOps, Banking, Financial Services, JPMC, JPMorgan Chase