AI Engineer
Join our team to build cutting-edge AI solutions that transform how students learn and study.
About the Role
As an AI Engineer at EduSphere AI, you will be at the forefront of developing and implementing advanced AI models that power our educational platform. You will work on natural language processing, machine learning, and deep learning solutions to create intelligent features that help students learn more effectively. This role offers a unique opportunity to apply cutting-edge AI technologies to solve real-world educational challenges.
Key Responsibilities
- Design, develop, and implement AI models for various features including content summarization, question answering, and personalized learning recommendations
- Integrate with large language models (LLMs) like Gemini and Hugging Face models to enhance our platform's capabilities
- Collaborate with product and engineering teams to translate business requirements into AI solutions
- Optimize AI models for performance, accuracy, and scalability
- Stay up-to-date with the latest advancements in AI and machine learning research
- Implement data pipelines for training, evaluating, and deploying AI models
- Develop and maintain documentation for AI systems and processes
- Mentor junior engineers and contribute to the growth of the AI team
Requirements
- Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or a related field
- 3+ years of experience in developing and deploying AI/ML models in production environments
- Strong proficiency in Python and experience with AI/ML frameworks such as TensorFlow, PyTorch, or Hugging Face Transformers
- Experience with natural language processing (NLP) and large language models (LLMs)
- Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization technologies
- Strong problem-solving skills and attention to detail
- Excellent communication skills and ability to explain complex AI concepts to non-technical stakeholders
- Experience with version control systems (Git) and CI/CD pipelines
Nice to Have
- PhD in AI, Machine Learning, or a related field
- Experience with educational technology or learning systems
- Publications in AI/ML conferences or journals
- Experience with reinforcement learning or generative AI
- Knowledge of JavaScript/TypeScript and web development
- Experience with data annotation and management tools
Benefits
- Competitive salary and equity package
- Flexible remote work policy
- Comprehensive health, dental, and vision insurance
- 401(k) matching program
- Generous PTO and paid holidays
- Professional development budget
- Home office stipend
- Team retreats and social events
Our Commitment to Diversity
EduSphere AI is committed to building a diverse and inclusive workplace. We are an equal opportunity employer and welcome applications from people of all backgrounds, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.