Our client, a leader in AI-driven learning and career guidance, is seeking an AI Engineer to develop and optimize machine learning models that power personalized recommendations and educational tools. If you are passionate about AI and eager to work on cutting-edge applications, we encourage you to apply.
Location: Fully-Remote (Work from Home), 9 AM - 5 PM EST
Key Responsibilities
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Model Development: Design, develop, and optimize machine learning models for personalized learning and career guidance.
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Backend Integration: Work with backend engineers to integrate AI models into a TypeScript-based platform.
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Data Processing: Analyze and preprocess large datasets to train machine learning models effectively.
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API Development: Implement and maintain APIs that power AI-driven features such as recommendations and learning paths.
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AI Research: Stay updated with the latest advancements in NLP, computer vision, and recommendation systems.
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Model Performance & Scalability: Monitor AI model performance and continuously improve accuracy, efficiency, and scalability.
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Ethical AI Practices: Ensure fairness, bias mitigation, and model explainability for responsible AI use.
What Success Looks Like
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Advanced AI Solutions: Deliver AI-driven features that improve user experience and learning outcomes.
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Scalable Models: Deploy high-performance AI models capable of handling large-scale user interactions.
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Seamless Integration: Smooth implementation of AI solutions within the existing platform.
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Responsible AI Practices: Maintain ethical AI principles, ensuring unbiased and fair recommendations.
Qualifications
Experience
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Bachelor's or Master’s degree in Computer Science, Data Science, AI, or related fields.
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2+ years experience integrating AI models into applications using TypeScript.
Skills
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Proficiency in machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
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Fluent English communication skills, written and verbal.
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Hands-on experience in NLP, recommendation systems, or personalization algorithms.
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Familiarity with cloud platforms (AWS, GCP, or Azure) for AI model deployment.
Preferred Skills
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Experience with MLOps tools for CI/CD, model versioning, and monitoring.
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Familiarity with TypeScript frameworks like NestJS for backend AI services.
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Knowledge of big data technologies such as Apache Spark or Hadoop.
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Background in education technology or career development systems.
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Understanding of AI ethics, fairness, and explainability frameworks.
Opportunity
This is a unique opportunity to shape the future of AI-powered education and career guidance. As an AI Engineer, you will work on innovative machine learning solutions that drive meaningful user experiences. If you thrive in a dynamic environment and are eager to push the boundaries of AI, we encourage you to apply.
Application Process:To be considered for this role these steps need to be followed:
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Fill in the application form
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Record a video showcasing your skill sets
