Advanced Machine Learning Model Architect

4 days ago


Bellevue, Washington, United States G2 Risk Solutions Full time
Job Summary

G2 Risk Solutions is a leading provider of e-commerce merchant risk and compliance intelligence and services, serving a diverse global client base.

This role offers an exceptional opportunity to leverage machine learning expertise in a fast-growing company, with a comprehensive benefits package and annual bonus.

Key Responsibilities
  • Design, train, optimize, and deploy machine learning models to drive business value.
  • Collaborate with cross-functional teams to integrate models into production environments and continuously monitor their effectiveness.
Required Skills and Qualifications
  • 8+ years of experience in building and deploying machine learning models, with a strong background in data management and pipeline development.
  • Deep expertise in at least one area of machine learning and AI, with excellent proficiency in Python, including libraries like NumPy, Pandas, and Flask.
  • Skilled in integrating Python with databases, APIs, and other technologies, with experience in DevOps practices and tools like Git, Kubernetes, and Jenkins.
  • Strong analytical thinking and problem-solving skills, with a proven ability to deliver complex technical projects on time.
  • Exceptional communication and collaboration skills, with the ability to engage and influence both technical and non-technical stakeholders.
Benefits
  • An estimated annual salary of up to $150,000, based on industry standards and company compensation policies.
  • A comprehensive benefits package, including medical, dental, vision, LTD, Paid Time Off, and a 401(k) savings plan.
Additional Information

This position requires a minimum of 8 years of relevant experience or a combination of work experience and advanced education. A Bachelor's degree in Computer Science or a related field is preferred, along with a strong track record of delivering impactful machine learning solutions in production environments.



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