Job Title: AI Research Intern

Company: Lylhelp

Location: Bangalore/Remote

Duration: 3 months (with the possibility of extension)

Job Description:

As an AI Intern at Lylhelp, you will work closely with the co-founder to develop an innovative AI-powered platform that helps businesses increase their revenue and customer engagement. You will be responsible for researching, designing, and implementing generative AI solutions, including AI agents leveraging LLM models like Mistral, LLaMA and other advanced machine learning models, and Retrieval-Augmented Generation (RAG) techniques to improve customer engagement, personalization, and campaign optimization. You will have the opportunity to explore cutting-edge AI techniques, learn from industry experts, and directly contribute to shaping the future of marketing automation.

Key Responsibilities:

• Assist in the development and deployment of AI agents, generative AI models and Retrieval-Augmented Generation (RAG) solutions that can personalize customer interactions across various marketing channels (e.g., email, SMS, social media).
• Create AI agents to automate tasks like content generation, customer support, and campaign recommendations etc.
• Implement RAG techniques to combine external knowledge sources (e.g., databases, APIs) with generative models to improve the accuracy and relevance of content generation and recommendations.
• Develop and integrate AI-driven workflows that enhance the marketing automation process by enabling dynamic content generation, A/B testing, and campaign optimization.
• Conduct data analysis to uncover patterns, trends, and actionable insights that inform the development and improvement of AI models.
• Test and validate AI models through iterative development cycles and gather feedback to refine models, ensuring their performance in real-world marketing applications.
• Document AI tool development processes, algorithms, and performance metrics for internal use and knowledge sharing.
• Stay up-to-date with the latest AI research and best practices in generative AI, RAG, natural language processing (NLP), and marketing automation technologies.

Qualifications:

• Passionate about AI and created a few personal projects.
• Basic programming skills (e.g., Python, R) and experience with machine learning frameworks (e.g., TensorFlow, PyTorch).
• Familiarity with AI models like OpenAI GPT, LLaMA, or RAG techniques.
• Strong analytical and problem-solving skills with an ability to work with large datasets.