Principal/ Senior Machine Learning Engineer

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: yolanda.fu@ 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. #J-18808-Ljbffr