AI/ML Engineer

BrickRed Systems; Redmond (WA); On-site; USD 120,000 - 190,000; Full time

Job summary

BrickRed Systems is seeking an AI/ML Engineer focused on the financial domain to design, develop, and deploy anomaly detection solutions for fraud and risk. You will build scalable pipelines, experiment with supervised and unsupervised models, and collaborate with cross-functional teams to translate business needs into AI-driven outcomes.

The role emphasizes feature engineering, model validation, monitoring, and adherence to data quality, security, and governance standards in a regulated

Qualifications

• Experience designing anomaly detection models for financial data.
• Strong background in ML methods, data processing, and feature engineering.
• Familiarity with fraud detection, risk analytics, and financial services.

Responsibilities

• Design and develop machine learning models for anomaly detection across financial datasets.
• Build scalable data pipelines for ingesting, processing, and analyzing large volumes of financial transactions.
• Develop and optimize supervised and unsupervised learning models for fraud detection and risk identification.
• Collaborate with data scientists, business stakeholders, and engineering teams to translate business requirements into AI-driven solutions.
• Perform feature engineering, model validation, monitoring, and continuous improvement of deployed models.
• Implement MLOps best practices for model deployment, monitoring, and lifecycle management.
• Analyze model performance and provide actionable insights to improve financial risk management processes.
• Ensure data quality, security, compliance, and governance standards are maintained.

Skills

Python

Scikit-learn

TensorFlow

PyTorch

Anomaly detection

Financial analytics

SQL

Spark

Cloud platforms

MLOps

CI/CD

Model monitoring

Data visualization

Education

Bachelor's degree in a related field

Tools

Spark

CI/CD pipelines

Model monitoring frameworks

Data visualization tools

SQL databases

Job description

We are seeking a AI/ML Engineer with experience in the financial domain to design, develop, and deploy anomaly detection solutions that identify fraud, financial risks, unusual transactions, and operational irregularities. The ideal candidate combines strong machine learning expertise with a solid understanding of financial data and analytics.

Key Responsibilities

• Design and develop machine learning models for anomaly detection across financial datasets.
• Build scalable data pipelines for ingesting, processing, and analyzing large volumes of financial transactions.
• Develop and optimize supervised and unsupervised learning models for fraud detection and risk identification.
• Collaborate with data scientists, business stakeholders, and engineering teams to translate business requirements into AI-driven solutions.
• Perform feature engineering, model validation, monitoring, and continuous improvement of deployed models.
• Implement MLOps best practices for model deployment, monitoring, and lifecycle management.
• Analyze model performance and provide actionable insights to improve financial risk management processes.
• Ensure data quality, security, compliance, and governance standards are maintained.

Required Technical Skills

• Strong proficiency in Python and machine learning libraries such as Scikit-learn, TensorFlow, or PyTorch.
• Experience with anomaly detection techniques, statistical modeling, and predictive analytics.
• Knowledge of financial services, banking, payments, fraud detection, or risk analytics.
• Hands-on experience with SQL and large-scale data processing frameworks such as Spark.
• Experience working with cloud platforms such as Azure, AWS, or Google Cloud.
• Familiarity with MLOps tools, CI/CD pipelines, and model monitoring frameworks.
• Strong understanding of data structures, algorithms, and software engineering best practices.
• Experience with data visualization and reporting tools is preferred.

About BrickRed Systems

BrickRed Systems is a global leader in next-generation technology consulting and workforce solutions, specializing in delivering high-quality talent across digital, engineering, healthcare, analytics, finance, operations, and business transformation domains.

With a strong emphasis on innovation, scalability, and client success, BrickRed Systems helps organizations solve complex business challenges by providing skilled professionals across strategy, technology, creative, and operational functions.

BrickRed Systems fosters a culture of continuous learning, collaboration, and excellence, enabling professionals to contribute to high-impact global initiatives while advancing their careers.