We're seeking an AI specialist to join our multidisciplinary team in developing cutting-edge AI solutions for education. The role focuses on fine-tuning and implementing AI models that enhance learning and teaching effectiveness through our educational platforms.

Key Responsibilities:

1. AI Solution Design: Conceptualize and develop innovative AI solutions tailored for educational applications, enhancing learning and teaching experiences.
2. LLM Fine-Tuning: Customize and fine-tune Large Language Models to address specific educational use cases, ensuring relevance and effectiveness.
3. AI Pipeline Development: Create and optimize robust AI pipelines for processing and analyzing educational data, ensuring efficiency and scalability.
4. ML Infrastructure Management: Build, deploy, and maintain scalable machine learning infrastructure to support ongoing and future AI initiatives.
5. Collaborative Research: Work closely with the research team to analyze data on learning effectiveness, leveraging insights to inform AI development.
6. Technical Documentation: Document detailed technical specifications, algorithms, and workflows, and maintain a clean, organized codebase for ongoing projects.
7. Continuous Improvement: Stay updated with the latest advancements in AI and EdTech, integrating new methodologies and technologies to enhance product offerings.
8. Cross-Functional Collaboration: Partner with product managers, educators, and other stakeholders to align AI initiatives with educational goals and user needs.

Technical Requirements:

• Education:

Master's or doctorate degree in Computer Science, AI, or related field from top universities

• Essential Technical Skills:

1. Machine Learning Expertise : Proven experience in ML model development, deployment, and extensive hands-on experience with Large Language Model (LLM) fine-tuning.
2. Programming Proficiency: Advanced skills in Python, including writing efficient and maintainable code.
3. ML Frameworks: Proficiency with machine learning frameworks such as PyTorch and TensorFlow, along with experience in deploying and scaling ML models.
4. Database Management: Strong knowledge of both SQL and NoSQL databases for effective data storage, retrieval, and management.
5. Version Control: Proficient in using Git for version control and collaborative software development.
6. API Development: Experience in developing RESTful APIs to facilitate seamless integration of AI models with other software components.
7. Containerization: Knowledge of Docker for containerizing applications, ensuring consistent environments across development and production.
8. Cloud Computing: Understanding of cloud platforms and their services to support AI and ML tasks (if applicable).

Desired Skills:

1. EdTech Industry Experience: Previous experience working within the educational technology sector, understanding its unique challenges and opportunities.
2. Cloud Service Proficiency: Hands-on experience with major cloud service providers such as AWS, Google Cloud Platform (GCP), or Microsoft Azure.
3. CI/CD Pipeline Management: Experience in setting up and managing Continuous Integration and Continuous Deployment pipelines to streamline development processes.
4. Analytical Thinking: Strong analytical and problem-solving skills, with the ability to approach complex challenges methodically.
5. Communication Skills: Excellent written and verbal communication abilities, capable of articulating complex technical concepts to diverse audiences.
6. Project Management: Proven experience in managing projects, ensuring timely delivery and adherence to quality standards.
7. Agile Methodologies: Familiarity with Agile development environments, including experience working in Scrum or Kanban frameworks.
8. Team Collaboration: Ability to work effectively within multidisciplinary teams, fostering a collaborative and productive work environment.
9. Innovation and Creativity: Demonstrated ability to think creatively and innovate within the AI and EdTech domains.

What We Offer:

• Competitive salary package
• Professional development opportunities
• Flexible working arrangements
• Collaborative and innovative work environment
• Opportunity to make meaningful impact in education

Qualified candidates should submit:

• Detailed resume
• Portfolio of relevant projects

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