Ace Infoway - AI/ML Developer - EdTech Solutions (4-10 yrs)

AI Development and Integration :

- Develop and optimize AI solutions leveraging tools like Claude.ai, Perplexity.ai, and other Anthropics-powered systems.

- Build and integrate AI-driven features into EdTech platforms to support adaptive learning, content personalization, and intelligent tutoring.

EdTech Solutions Development :

- Design AI applications tailored to the education sector, such as virtual tutors, automated assessments, and recommendation systems.

- Collaborate with educators and curriculum designers to align AI functionalities with educational goals.

Model Training and Fine-Tuning :

- Train and fine-tune LLMs for specific EdTech use cases, ensuring they deliver accurate and meaningful interactions.

- Apply transfer learning techniques to adapt general models for education-specific tasks.

AI Tool Utilization :

- Leverage Claude.ai and Perplexity.ai to create innovative solutions for interactive learning and data-driven insights.

- Experiment with and incorporate features from emerging Anthropics technologies to enhance the platform's capabilities.

Research and Innovation :

Job Description :

- Stay abreast of developments in AI and EdTech to implement state-of-the-art solutions.

- Conduct exploratory research on how advanced AI tools can address key challenges in education.

Collaboration and Stakeholder Engagement :

- Collaborate with product managers, UX designers, and other developers to deliver AI-powered EdTech features.

- Clearly communicate AI concepts and capabilities to both technical and non-technical stakeholders.

Requirements :

- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Ph.D. is an advantage.

- Proven expertise in working with Claude.ai, Perplexity.ai, and other Anthropics systems.

- Strong proficiency in Python and familiarity with AI frameworks like TensorFlow, PyTorch, and Hugging Face.

- Deep understanding of NLP techniques, LLM architectures, and transformer-based models.

- Experience with API integrations and deploying AI/ML models in production environments.

- Demonstrated experience in developing AI solutions for educational platforms.

- Knowledge of challenges in EdTech, including accessibility, data privacy (e.g., FERPA, GDPR), and scalability.