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AI Engineer

AI Engineer

Project GrowthNigeria, NG
1 day ago
Job description

Job title : AI Engineer

Job Location : Nigeria Deadline : April 11, 2025 Quick Recommended Links

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Key Responsibilities

  • Model Development : Design, develop, and optimize machine learning models for personalized learning and career guidance.
  • Backend Integration : Work with backend engineers to integrate AI models into a TypeScript-based platform.
  • Data Processing : Analyze and preprocess large datasets to train machine learning models effectively.
  • API Development : Implement and maintain APIs that power AI-driven features such as recommendations and learning paths.
  • AI Research : Stay updated with the latest advancements in NLP, computer vision, and recommendation systems.
  • Model Performance & Scalability : Monitor AI model performance and continuously improve accuracy, efficiency, and scalability.
  • Ethical AI Practices : Ensure fairness, bias mitigation, and model explainability for responsible AI use.

    • What Success Looks Like

  • Advanced AI Solutions : Deliver AI-driven features that improve user experience and learning outcomes.
  • Scalable Models : Deploy high-performance AI models capable of handling large-scale user interactions.
  • Seamless Integration : Smooth implementation of AI solutions within the existing platform.
  • Responsible AI Practices : Maintain ethical AI principles, ensuring unbiased and fair recommendations.

    • Qualifications

    Experience

  • Bachelor's or Master's degree in Computer Science, Data Science, AI, or related fields.
  • 2+ years experience integrating AI models into applications using TypeScript.

    • Skills

  • Proficiency in machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
  • Fluent English communication skills, written and verbal.
  • Hands-on experience in NLP, recommendation systems, or personalization algorithms.
  • Familiarity with cloud platforms (AWS, GCP, or Azure) for AI model deployment.

    • Preferred Skills

  • Experience with MLOps tools for CI / CD, model versioning, and monitoring.
  • Familiarity with TypeScript frameworks like NestJS for backend AI services.
  • Knowledge of big data technologies such as Apache Spark or Hadoop.
  • Background in education technology or career development systems.
  • Understanding of AI ethics, fairness, and explainability frameworks.