Referso Jobs

Manager-Risk Management

American Express - Global Commercial Services Italia · Posted Nov 11, 2026

Open

Phoenix, Arizona, United States
Hybrid
Full-time · Manager
3+ years

Manager-Risk Management

American Express - Global Commercial Services Italia · Posted Nov 11, 2026

Open

Phoenix, Arizona, United States
Hybrid
Full-time · Manager
3+ years

AI Developer

INNOVATIVE TECH SOLUTIONS INC · Posted Sep 23, 2026

Open

New York, New York, United States
Hybrid
Contract · Senior
$70–$70 per hour
14+ years

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Design, develop, and deploy machine learning and AI models for real-world applications

Compensation

Rate: 70/hr on C2C

Responsibilities

Design, develop, and deploy machine learning and AI models for real-world applications
Build and optimize natural language processing (NLP), computer vision, or predictive analytics solutions
Collaborate with cross-functional teams to integrate AI capabilities into existing products and platforms
Conduct data preprocessing, feature engineering, and model evaluation to ensure performance and accuracy
Research and implement the latest advancements in AI/ML frameworks and technologies

Requirements

Bachelor's degree
Master's degree

Skills

Python TensorFlow PyTorch scikit-learn deep learning neural networks

Data Scientist

Magna International · Posted May 8, 2026

Open

Ramos Arizpe, Coahuila, Mexico
Full-time · Senior
5+ years

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Responsibilities

Develop and deploy machine learning models to optimize manufacturing processes, predictive maintenance, and quality control
Analyze large-scale structured and unstructured datasets from production systems (MES, ERP, IoT sensors)
Design and implement data pipelines and feature engineering workflows for industrial data
Identify patterns, trends, and root causes to support continuous improvement of business processes
Build dashboards and visualizations to communicate insights to stakeholders (Power BI, Tableau, Grafana, etc.)

Requirements

Bachelor’s or master’s degree (PhD preferred) in Data Science, Statistics, Computer Science, Engineering, or related field
Nice to have: automotive or Tier 1 supplier environments
Nice to have: Industry 4.0
Nice to have: smart factory
Nice to have: digital twin concepts

Skills

Python R scikit-learn TensorFlow PyTorch

AI/ML Model Engineer

IntrepidGS · Posted Aug 8, 2025

Open

McLean, Virginia, United States
5+ years

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Develop and validate machine learning models to optimize automation and generate data‑driven insights for defense and government clients.

Responsibilities

Develop machine learning models to enhance automation and insights
Test model performance and refine algorithms
Monitor AI‑driven systems in production environments
Operate independently across multiple work areas
Lead major technical assignments and supervise teams

Requirements

Bachelor’s degree in engineering or related field

Skills

model validation model audit Department of Defense experience cloud services (AWS, Google, Azure)Big Data tools (Hadoop, Hive, Spark)emerging technologies AWS Google Cloud

Senior Analyst, Credit Risk Model Validation

Bank of Montreal · Posted Nov 6, 2026

Open

Toronto, Ontario, Canada
Hybrid
Full-time · Senior
$56K–$120K per year
4–6 years

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Senior Analyst in Model Risk Management focusing on credit risk model validation

Compensation

$55,500.00 - $120,000.00

Responsibilities

Validate credit risk models and associated tools
Provide effective challenge to model development
Communicate decisions regarding model use
Engage stakeholders and manage relationships
Drive change through new technology platforms

Requirements

MSc or PhD in quantitative fields such as statistics, applied mathematics, financial mathematics, data science, actuarial sciences, electrical engineering

Skills

model validation credit risk models stress testing programming in Python programming in R programming in SAS SQL

Data Scientist

Scotiabank · Posted Nov 6, 2026

Open

Toronto, Ontario, Canada

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Lead data science initiatives to derive actionable insights on client experience and journey performance within Scotiabank’s Customer Insights Data and Analytics team.

Compensation

competitive compensation and benefits package

Responsibilities

Develop, test, and implement analytical approaches that uncover meaningful patterns in client behaviour, experience, and journey performance across multiple channels and touchpoints.
Write and maintain high-quality Python and SQL code to source, prepare, and analyze large volumes of structured and unstructured data, building robust analytical datasets and pipelines.
Employ modern NLP techniques—including LLMs, prompt engineering, text classification, topic modelling, sentiment analysis, and information extraction.
Design and apply statistical, machine learning, and exploratory analytical techniques to identify drivers of client satisfaction, friction points in the client journey, and opportunities to improve engagement, retention, and overall experience.
Create compelling data visualizations, dashboards, and reports that clearly communicate insights, trends, and opportunities related to client experience and client journey performance to business and executive stakeholders.

Requirements

University/Post graduate degree in a relevant STEM discipline

Skills

Python SQL AI and machine learning techniques NLP Statistical analysis Segmentation Predictive modeling Prompt engineering Big data tools Hadoop Spark Cloud-based data and analytics environments Google Cloud Microsoft Azure DevOps principles Git

Benefits

competitive compensation and benefits package
inclusive and collaborative working environment

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