Overview
On Site
Hybrid
USD 75.00 per hour
Full Time
Skills
Data Science
Finance
Python
R
Scala
TensorFlow
PyTorch
scikit-learn
Big Data
Apache Hadoop
Apache Spark
SQL
NoSQL
Database
Modeling
Docker
Kubernetes
Trading
Portfolio Optimization
Customer Engagement
Generative Artificial Intelligence (AI)
Amazon Web Services
Microsoft Azure
Artificial Intelligence
Customer Analysis
Optimization
Unstructured Data
Natural Language Processing
Deep Learning
Time Series
Collaboration
Banking
Machine Learning (ML)
Machine Learning Operations (ML Ops)
Regulatory Compliance
Performance Tuning
Job Details
Date Posted: 07/15/2025
Hiring Organization: Rose International
Position Number: 485522
Industry: Financial Services
Job Title: Senior AI ML Engineer
Job Location: New York, NY, USA, 10020
Work Model: Hybrid
Work Model Details: 8 am - 5 pm EST
Shift: Hybrid: 4 days/week on-site at the NY office
Employment Type: Temporary
FT/PT: Full-Time
Estimated Duration (In months): 11
Min Hourly Rate($): 75.00
Max Hourly Rate($): 90.00
Must Have Skills/Attributes: AI Models, Hadoop, Machine Learning, NoSQL, Python, R, SQL
Experience Desired: Familiarity with LLMs and GenAI applications in banking (3 yrs); Automated trading, portfolio optimization, or AI-driven customer engagement (3 yrs)
Preferred Certifications/Licenses: Certifications in AWS/Azure AI/ML services
Job Description
***Only qualified Senior AI/ML Engineer located near the New York, NY area to be considered due to the position requiring an onsite presence***
Required Skills:
5+ years of experience in machine learning, data science, or AI, preferably in the banking or financial sector
Strong programming skills in Python, R, or Scala with expertise in ML libraries such as TensorFlow, PyTorch, Scikit-learn
Experience with big data technologies (Hadoop, Spark) and SQL/NoSQL databases
Knowledge of risk modeling, capital models, and regulatory compliance in banking
Hands-on experience with MLOps tools (Docker, Kubernetes, MLflow, Kubeflow, Airflow)
Ability to communicate complex ML concepts to non-technical stakeholders
Nice-to-Have Skills:
Experience in automated trading, portfolio optimization, or AI-driven customer engagement
Familiarity with LLMs and GenAI applications in banking
Certifications in AWS/Azure AI/ML services
Key Responsibilities:
Develop and implement machine learning models for customer analytics, profitability assessment, and balance sheet optimization
Work with structured and unstructured data, leveraging techniques such as NLP, deep learning, and time-series analysis
Collaborate with business stakeholders to translate banking problems into machine learning solutions
Deploy models into production using MLOps best practices
Ensure compliance with regulatory requirements and model governance frameworks
Conduct model validation, performance tuning, and explainability analysis
Benefits:
For information and details on employment benefits offered with this position, please visit here. Should you have any questions/concerns, please contact our HR Department via our secure website.
California Pay Equity:
For information and details on pay equity laws in California, please visit the State of California Department of Industrial Relations' website here.
Rose International is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender (expression or identity), national origin, arrest and conviction records, disability, veteran status or any other characteristic protected by law. Positions located in San Francisco and Los Angeles, California will be administered in accordance with their respective Fair Chance Ordinances.
If you need assistance in completing this application, or during any phase of the application, interview, hiring, or employment process, whether due to a disability or otherwise, please contact our HR Department.
Rose International has an official agreement (ID #132522), effective June 30, 2008, with the U.S. Department of Homeland Security, U.S. Citizenship and Immigration Services, Employment Verification Program (E-Verify). (Posting required by OCGA 13/10-91.).
Hiring Organization: Rose International
Position Number: 485522
Industry: Financial Services
Job Title: Senior AI ML Engineer
Job Location: New York, NY, USA, 10020
Work Model: Hybrid
Work Model Details: 8 am - 5 pm EST
Shift: Hybrid: 4 days/week on-site at the NY office
Employment Type: Temporary
FT/PT: Full-Time
Estimated Duration (In months): 11
Min Hourly Rate($): 75.00
Max Hourly Rate($): 90.00
Must Have Skills/Attributes: AI Models, Hadoop, Machine Learning, NoSQL, Python, R, SQL
Experience Desired: Familiarity with LLMs and GenAI applications in banking (3 yrs); Automated trading, portfolio optimization, or AI-driven customer engagement (3 yrs)
Preferred Certifications/Licenses: Certifications in AWS/Azure AI/ML services
Job Description
***Only qualified Senior AI/ML Engineer located near the New York, NY area to be considered due to the position requiring an onsite presence***
Required Skills:
5+ years of experience in machine learning, data science, or AI, preferably in the banking or financial sector
Strong programming skills in Python, R, or Scala with expertise in ML libraries such as TensorFlow, PyTorch, Scikit-learn
Experience with big data technologies (Hadoop, Spark) and SQL/NoSQL databases
Knowledge of risk modeling, capital models, and regulatory compliance in banking
Hands-on experience with MLOps tools (Docker, Kubernetes, MLflow, Kubeflow, Airflow)
Ability to communicate complex ML concepts to non-technical stakeholders
Nice-to-Have Skills:
Experience in automated trading, portfolio optimization, or AI-driven customer engagement
Familiarity with LLMs and GenAI applications in banking
Certifications in AWS/Azure AI/ML services
Key Responsibilities:
Develop and implement machine learning models for customer analytics, profitability assessment, and balance sheet optimization
Work with structured and unstructured data, leveraging techniques such as NLP, deep learning, and time-series analysis
Collaborate with business stakeholders to translate banking problems into machine learning solutions
Deploy models into production using MLOps best practices
Ensure compliance with regulatory requirements and model governance frameworks
Conduct model validation, performance tuning, and explainability analysis
- **Only those lawfully authorized to work in the designated country associated with the position will be considered.**
- **Please note that all Position start dates and duration are estimates and may be reduced or lengthened based upon a client's business needs and requirements.**
Benefits:
For information and details on employment benefits offered with this position, please visit here. Should you have any questions/concerns, please contact our HR Department via our secure website.
California Pay Equity:
For information and details on pay equity laws in California, please visit the State of California Department of Industrial Relations' website here.
Rose International is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender (expression or identity), national origin, arrest and conviction records, disability, veteran status or any other characteristic protected by law. Positions located in San Francisco and Los Angeles, California will be administered in accordance with their respective Fair Chance Ordinances.
If you need assistance in completing this application, or during any phase of the application, interview, hiring, or employment process, whether due to a disability or otherwise, please contact our HR Department.
Rose International has an official agreement (ID #132522), effective June 30, 2008, with the U.S. Department of Homeland Security, U.S. Citizenship and Immigration Services, Employment Verification Program (E-Verify). (Posting required by OCGA 13/10-91.).
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.