

Perfict
Machine Learning Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Machine Learning Engineer on a 9+ month remote contract, offering a competitive pay rate. Requires 5+ years of experience in AI/ML systems, proficiency in full-stack development, and familiarity with cloud platforms like AWS and Azure.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
October 14, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
Remote
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📄 - Contract
Fixed Term
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#dbt (data build tool) #API (Application Programming Interface) #TypeScript #Azure #Libraries #Cloud #React #AWS (Amazon Web Services) #Python #JavaScript #AI (Artificial Intelligence) #ML (Machine Learning) #Snowflake #Kafka (Apache Kafka)
Role 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.
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.