Perfict Global

Machine Learning Engineer


PayCompetitive
LocationRemote
Employment typeContract

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  • Job Description

      Req#: 25-00110

      Job Title : Machine Learning Engineer
      Location: Remote
      Duration : 9+Month Contract & (CTH)

      Role & Responsibilities
      We are looking for a Full Stack ML & Data Product Engineer to serve as a key player in contributing to our platform development.
      • 5+ years of experience – Mid-level to Sr
      • Demonstrated experience building applied AI/ML systems
      • Practical experience designing and maintaining data products that power product features and insights.
      • Solid understanding of core AI/ML concepts and ability to weigh tradeoffs between approaches.
      • Proficiency in modern full-stack development: Vue.js, React.js, Python, Node (Javascript and Typescript ) and related frameworks/libraries.
      • Experience with cloud platforms such as AWS and Azure.
      • Strong analytical and problem-solving skills with a focus on delivering innovative solutions.
      • Excellent communication skills and ability to work effectively in a collaborative team environment.
      • Ability to thrive in a fast-paced startup environment and adapt quickly to new challenges.
      • Experience with modern build tools (Vite, Rollup, Webpack)
      • Comfortable building and troubleshooting across the stack — from database and APIs to user interfaces.
      • Experience integrating with payment processing platforms (primarily Stripe)
      • Experience building with AI/ML technologies (e.g., OpenAI API, large language models, agent frameworks).
      • Experience with modern data platforms and tools (e.g., dbt, Snowflake/ClickHouse, Kafka, etc) to support production data workflows.
      • Familiarity with email/SMS services (Postmark, Sendgrid, Twilio)
      • Demonstrates a strong bias toward action by actively contributing to open-source projects/communities and/or building interesting side projects
      • Strong opinions, loosely held - willing to advocate for ideas while staying pragmatic and collaborative.



  • About the company

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