5+ years of experience in full-stack ML data product engineering (mid-level to senior)
Demonstrated experience building applied AI/ML systems
Proficiency in modern full-stack development: Vue.js, React.js, Python, Node.js (JavaScript/TypeScript)
Experience with cloud platforms such as AWS and Azure
Requirements:
Contribute to platform development as a key Full Stack ML Data Product Engineer.
Design and maintain data products that power product features and insights.
Develop full-stack solutions across databases, APIs, and user interfaces using Vue.js, React.js, Python, and Node/TypeScript.
Collaborate in a fast-paced startup environment, integrate with payment processing platforms (primarily Stripe), and leverage AI/ML technologies and data platforms to support production workflows.
Job description
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.
