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: 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. 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 effectively to 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 in 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 technologies (AWS, Azure, GCP) and infrastructure as code frameworks like Terraform. Experience applying DevOps principles. Proficiency in version control systems, especially GitHub. Excellent problem-solving skills and proactive challenge resolution. 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 including the USA, China, Canada, Singapore, Japan, Philippines, UK, India, Netherlands, and the EU. We are committed to diversity and inclusivity, valuing all candidates equally. Learn more at . Compensation: The offered pay will depend on education, experience, location, and other factors. We also offer a comprehensive benefits package, subject to eligibility. #J-18808-Ljbffr
Ipro Networks Pte. Ltd.