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Generative AI and Automation Expert
2 months ago
Job Responsibilities
1. AI Integration:
• Collaborate with various departments to understand their needs and identify opportunities for AI integration.
• Design, develop, and implement generative AI models tailored to the edtech sector.
• Ensure AI models are scalable, maintainable, and aligned with business goals.
2. Automation:
• Develop and deploy automation solutions to streamline business processes and improve efficiency.
• Implement and monitor automated workflows to enhance operational productivity across departments.
3. Collaboration:
• Work closely with cross-functional teams, including educators, product managers, and developers, to integrate AI solutions seamlessly.
• Provide training and support to staff on the effective use of AI tools and technologies.
• Foster a collaborative environment to drive innovation and adoption of AI initiatives.
4. Research and Development:
• Stay updated with the latest trends and advancements in AI and automation technologies.
• Experiment with and evaluate new AI models and techniques to continuously enhance the company’s offerings.
• Lead initiatives to pilot and scale AI solutions.
5. Data Management:
• Ensure the effective collection, storage, and analysis of data used for AI models.
• Maintain data privacy and security in compliance with relevant regulations.
• Implement best practices for data governance and quality management.
Qualifications
• Education: Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or a related field from a reputed institution.
Experience
• Proven experience in AI integration and automation, preferably in the edtech sector.
• Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or similar.
• Experience with natural language processing (NLP) and generative models.
• Experience using model hubs like Hugging Face.
• Share details about the generative AI projects you have completed.
• Share your GitHub repository if you have one.
• Skills:
• Proficiency in programming languages such as Python, R, or similar.
• Strong understanding of data structures, algorithms, and software engineering principles.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills.
• Demonstrated ability to manage and lead AI projects from concept to implementation.
Preferred Qualifications
• Previous experience working in the edtech sector.
• Experience with cloud platforms such as AWS, Google Cloud, or Azure.
• Familiarity with educational technologies and tools.