Overview
On Site
$80 - $90 hourly
Contract - W2
Contract - Temp
Skills
Customer Analysis
Unstructured Data
Natural Language Processing
Deep Learning
Time Series
Collaboration
Performance Tuning
Data Science
Finance
Big Data
Apache Hadoop
Apache Spark
SQL
NoSQL
Database
Machine Learning Operations (ML Ops)
Docker
Kubernetes
Modeling
Regulatory Compliance
Statistical Models
Optimization
Python
R
Scala
TensorFlow
PyTorch
scikit-learn
Amazon Web Services
Microsoft Azure
Machine Learning (ML)
Trading
Portfolio Optimization
Customer Engagement
Generative Artificial Intelligence (AI)
Banking
Artificial Intelligence
Messaging
Job Details
RESPONSIBILITIES:
Kforce has a client that is seeking a Developer - Specialized (Senior) in New York, NY.
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
REQUIREMENTS:
* Degree in Computer Science, Data Science, Mathematics, or related field preferred
* 5+ years of experience in machine learning, data science, or AI, preferably in the banking or financial sector
* Experience with big data technologies (Hadoop, Spark) and SQL/NoSQL databases
* Hands-on experience with MLOps tools (Docker, Kubernetes, MLflow, Kubeflow, Airflow)
* Knowledge of risk modeling, capital models, and regulatory compliance in banking
* Strong understanding of statistical modeling, optimization, and feature engineering
* Strong programming skills in Python, R, or Scala with expertise in ML libraries such as TensorFlow, PyTorch, Scikit-learn
* Ability to communicate complex ML concepts to non-technical stakeholders
Nice-to-Have Skills:
* Certifications in AWS/Azure AI/ML services
* Experience in automated trading, portfolio optimization, or AI-driven customer engagement
* Familiarity with LLMs and GenAI applications in banking
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.
Kforce has a client that is seeking a Developer - Specialized (Senior) in New York, NY.
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
REQUIREMENTS:
* Degree in Computer Science, Data Science, Mathematics, or related field preferred
* 5+ years of experience in machine learning, data science, or AI, preferably in the banking or financial sector
* Experience with big data technologies (Hadoop, Spark) and SQL/NoSQL databases
* Hands-on experience with MLOps tools (Docker, Kubernetes, MLflow, Kubeflow, Airflow)
* Knowledge of risk modeling, capital models, and regulatory compliance in banking
* Strong understanding of statistical modeling, optimization, and feature engineering
* Strong programming skills in Python, R, or Scala with expertise in ML libraries such as TensorFlow, PyTorch, Scikit-learn
* Ability to communicate complex ML concepts to non-technical stakeholders
Nice-to-Have Skills:
* Certifications in AWS/Azure AI/ML services
* Experience in automated trading, portfolio optimization, or AI-driven customer engagement
* Familiarity with LLMs and GenAI applications in banking
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.
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.