Project Growth champions remote flexibility, prioritizes employee well-being, fosters inclusivity, and cultivates a culture of continuous learning and innovation. All roles are remote unless it is explicitly stated otherwise. Join our global tech journey!
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.
Method of Application
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