IntelliPro Group Inc. Logo

IntelliPro Group Inc.

Principal/ Senior Machine Learning Engineer

Job Posted 21 Days Ago Posted 21 Days Ago
Be an Early Applicant
In-Office
Seattle, WA
200K-270K
Senior level
In-Office
Seattle, WA
200K-270K
Senior level
Lead the design, deployment, and optimization of fraud detection ML models for payment systems, collaborating with cross-functional teams.
The summary above was generated by AI

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@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.
1. Serves as the official payment partner of the U.S. federal fleet
2. 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 line of business engineering teams to integrate AI components and models into our systems.
  • Collaborate with the team to manage version control using GitHub and implement robust CI/CD pipelines for continuous integration and delivery.
  • Design and implement RESTful APIs to facilitate communication between various components and ensure smooth operation of our applications.
  • Collaborate effectively with cross-functional teams, participate in code reviews, and communicate solutions to both technical and non-technical stakeholders.

Requirements:

  • 10-20 years working experience
  • Minimum 5 years of application development experience using Python.
  • Minimum 3 years of experience building, training and deploying machine learning models.
  • Strong ability to use key Python libraries such as Pandas, Numpy and deep learning libraries like PyTorch or Tensorflow.
  • Bachelor's Degree in Computer Science, Engineering, or related field.
  • Familiarity with cloud technologies, such as AWS, Azure, or GCP and how to provision those services through IAC frameworks such as Terraform.
  • Experience applying DevOps principles to software development processes.
  • Proficiency in version control systems, particularly GitHub.
  • Excellent problem-solving skills and a proactive approach to addressing challenges.
  • Experience in the financial industry is a plus.

About Us:
Founded in 2009, IntelliPro is a global leader in talent acquisition and HR solutions. Our commitment to delivering unparalleled service to clients, fostering employee growth, and building enduring partnerships sets us apart. We continue leading global talent solutions with a dynamic presence in over 160 countries, including the USA, China, Canada, Singapore, Japan, Philippines, UK, India, Netherlands, and the EU.
IntelliPro, a global leader connecting individuals with rewarding employment opportunities, is dedicated to understanding your career aspirations. As an Equal Opportunity Employer, IntelliPro values diversity and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, disability, or any other legally protected group status. Moreover, our Inclusivity Commitment emphasizes embracing candidates of all abilities and ensures that our hiring and interview processes accommodate the needs of all applicants. Learn more about our commitment to diversity and inclusivity at https://intelliprogroup.com/.
Compensation: The pay offered to a successful candidate will be determined by various factors, including education, work experience, location, job responsibilities, certifications, and more. Additionally, IntelliPro provides a comprehensive benefits package, all subject to eligibility.

Top Skills

AWS
Azure
GCP
Git
Numpy
Pandas
Python
PyTorch
TensorFlow
Terraform

Similar Jobs

3 Days Ago
In-Office or Remote
Seattle, WA, USA
222K-349K Annually
Expert/Leader
222K-349K Annually
Expert/Leader
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Lead the development of advanced machine learning models, collaborating with multi-disciplinary teams to enhance AI capabilities in Atlassian products.
Top Skills: AWSAzureGCPJaxPythonPyTorchTensorFlow
3 Days Ago
In-Office
4 Locations
227K-402K Annually
Senior level
227K-402K Annually
Senior level
Cloud • Fintech • HR Tech
Lead Cross-functional teams in building AI agents for HR and Finance, architecting scalable solutions, selecting AI frameworks, and driving innovation.
Top Skills: AIAWSAzureGCPLlmsMachine LearningOrchestration FrameworksPython
An Hour Ago
In-Office
Seattle, WA, USA
Senior level
Senior level
Big Data • Cloud • Fintech • Financial Services • Conversational AI
This role involves leading client relationships and driving sales through Independent Broker-Dealer firms and RIAs, requiring deep knowledge of financial products and effective collaboration with financial advisors.
Top Skills: CfaCfpCimaNasd Series 66Nasd Series 7

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
By clicking Apply you agree to share your profile information with the hiring company.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account