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Artificial Intelligence & Machine Learning Engineer (Remote)

EduAvenues®
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About Us:

EduAvenues is an education consulting firm specializing in admissions guidance for competitive programs. We are building a data-driven, scalable platform to improve student outcomes and streamline the admissions process. To achieve this, we are looking for a highly skilled Full-Stack Software Engineer to lead development efforts, build new features, and optimize our platform’s performance.

Role Overview:

As an AI & Machine Learning Engineer, you’ll develop natural language processing (NLP) models for essay review, predictive analytics for admissions outcomes, and AI-driven automation tools. You’ll work alongside data engineers, software developers, and education experts to integrate AI into EduAvenues’ student-facing platform.

Key Responsibilities:

  • Develop AI-Powered Essay Review Tools – Use NLP models to provide instant, high-quality feedback on student essays.
  • Build Predictive Admissions Models – Leverage machine learning to identify application success trends.
  • Enhance Personalization – Create AI-powered recommendation systems for students (e.g., best-fit schools, scholarship suggestions).
  • Optimize AI Models for Scale & Accuracy – Fine-tune models to improve accuracy and efficiency.
  • Integrate AI Features into Web Applications – Work with full-stack developers to deploy AI solutions.

Tech Stack:

  • Languages: Python, TensorFlow/PyTorch, SQL
  • AI/NLP Tools: OpenAI API, Hugging Face Transformers, GPT, Llama
  • Databases: PostgreSQL, Snowflake
  • Cloud & Deployment: AWS/GCP, Docker, Kubernetes

Qualifications:

  • 3+ years of experience in machine learning and AI development.
  • Strong background in NLP, deep learning, and predictive modeling.
  • Proficiency in Python, TensorFlow, PyTorch, or Hugging Face Transformers.
  • Experience deploying AI models in production.
  • Passion for education and AI’s role in improving student success.

Why Join Us?

  • Build impactful solutions that help students get into top universities.
  • Own & scale AI infrastructure in a growing company.
  • Remote flexibility with competitive compensation.

How to Apply:

 

Please email careers@eduavenues.com with your resume and cover letter (both in PDF format). If applicable, include any portfolio projects relevant to the position. Due to the volume of applications, we will only respond to candidates who are a strong fit for the role.