Overview
On Site
BASED ON EXPERIENCE
Contract - Independent
Contract - W2
Contract - 11+ mo(s)
Skills
Customer Analysis
Unstructured Data
Natural Language Processing
Deep Learning
Time Series
Collaboration
Performance Tuning
Finance
Python
R
Scala
TensorFlow
PyTorch
scikit-learn
Big Data
Apache Hadoop
Apache Spark
SQL
NoSQL
Database
Modeling
Regulatory Compliance
Machine Learning Operations (ML Ops)
Docker
Kubernetes
Statistical Models
Optimization
Computer Science
Data Science
Mathematics
Trading
Portfolio Optimization
Customer Engagement
Generative Artificial Intelligence (AI)
Banking
Amazon Web Services
Microsoft Azure
Artificial Intelligence
Machine Learning (ML)
Job Details
Role: AI/ML Developer
Location: NYC
Duration: 1+ year Contract
Compensation: $90.00 - 100.00/hr
Work Requirements: , Holders or Authorized to Work in US
Required Qualifications & Experience:
Nice-to-Have Skills:
Location: NYC
Duration: 1+ year Contract
Compensation: $90.00 - 100.00/hr
Work Requirements: , Holders or Authorized to Work in US
If interested, please contact Margot Parsons at or call
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.
- Stay updated with emerging AI/ML trends in the financial industry.
Required Qualifications & Experience:
- 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).
- Strong understanding of statistical modeling, optimization, and feature engineering.
- Ability to communicate complex ML concepts to non-technical stakeholders.
- Degree in Computer Science, Data Science, Mathematics, or related field preferred.
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.
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.