Job Details

Job Title: Principal / Senior Machine Learning Engineer

Position Type: FTE

Location: San Francisco / Portland, ME / Boston / Chicago / Seattle

Salary Range: $200,000 - $270,000 (USD)

Job ID#: 155325

Contact: ...@intelliprogroup.com

Job Description:

These are high-impact leadership roles focused on designing, deploying, and optimizing fraud detection models for large-scale payment systems. You'll work at the intersection of machine learning, cloud infrastructure, and risk engineering.

• Serves as the official payment partner of the U.S. federal fleet
• Powers 98% of gas station payment transactions nationwide

Responsibilities:

• Design, implement, train, and maintain machine learning algorithms and ML system pipelines.
• Work closely with our AI platform team and engineering teams to integrate AI components and models into our systems.
• Manage version control using GitHub and implement CI/CD pipelines for continuous integration and delivery.
• Design and implement RESTful APIs for system communication and operation.
• Collaborate with cross-functional teams, participate in code reviews, and communicate solutions to both technical and non-technical stakeholders.

Requirements:

• 10-20 years of working experience
• Minimum 5 years of application development experience using Python
• Minimum 3 years of experience building, training, and deploying machine learning models
• Strong proficiency with Python libraries such as Pandas, Numpy, and deep learning frameworks like PyTorch or TensorFlow
• Bachelor's Degree in Computer Science, Engineering, or related field
• Familiarity with cloud platforms (AWS, Azure, GCP) and infrastructure as code (Terraform)
• Experience applying DevOps principles
• Proficiency with GitHub and version control
• Excellent problem-solving skills and proactive approach
• Experience in the financial industry is a plus

About Us:

Founded in 2009, IntelliPro is a global leader in talent acquisition and HR solutions, operating in over 160 countries. We are committed to diversity, inclusivity, and providing rewarding employment opportunities. Learn more at

Compensation:

The salary will be determined based on factors such as education, experience, location, and certifications. We offer a comprehensive benefits package, subject to eligibility.

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