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[Remote] Senior Machine Learning Engineer

Remote · USA Full-time New today

Note: The job is a remote job and is open to candidates in USA. Harnham is partnering with a fintech that has built a leading fraud protection platform. They are seeking a Senior Machine Learning Engineer to own the end-to-end lifecycle of machine learning projects and build scalable ML pipelines for fraud detection.

Responsibilities

  • Own the end-to-end lifecycle of machine learning projects, from experimentation through deployment and production monitoring
  • Build, maintain, and optimize production-grade machine learning models for fraud detection
  • Design and implement scalable ML pipelines to enable rapid experimentation and model iteration
  • Develop advanced feature engineering and statistical methodologies to improve model performance
  • Collaborate with Product, Engineering, and Risk teams to translate business needs into ML solutions
  • Contribute to model training, evaluation frameworks, and experimentation infrastructure
  • Ensure robustness, scalability, and reliability of ML systems in high-volume production environments
  • Drive best practices in testing, documentation, and model monitoring across the ML team

Skills

  • 4–6+ years of experience in machine learning within production environments
  • Strong foundation in machine learning theory, statistical modeling, and evaluation techniques
  • Experience building and deploying supervised and unsupervised ML models at scale
  • Proven track record of taking ML projects from research/prototype to production
  • Proficiency in Python, SQL, and key machine learning libraries
  • Experience working with distributed data processing tools such as Spark
  • Strong communication skills, with the ability to explain technical insights to non-technical stakeholders
  • Detail-oriented mindset with a focus on delivering measurable business impact
  • Experience in fraud detection, fintech, payments, or e-commerce domains
  • Advanced degree (Master's or PhD) in a quantitative field
  • Passion for writing well-tested, production-quality code
  • Interest in adversarial machine learning and combating fraud at scale

Benefits

  • Performance-based bonus
  • A comprehensive benefits package within a fast-growing, mission-driven organization

Company Overview

  • Harnham has actively chosen to focus on Data and Analytics. It was founded in 2006, and is headquartered in New York, New York, USA, with a workforce of 201-500 employees. Its website is https://www.harnham.com/us.
  • Company H1B Sponsorship

  • Harnham has a track record of offering H1B sponsorships, with 1 in 2024. Please note that this does not guarantee sponsorship for this specific role.
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