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Paytm Off Campus Internship Hiring As Generative Artificial Intelligence – Intern : Paytm is India’s leading digital payments and financial services platform, offering seamless payment solutions to consumers and empowering merchants with tools to grow their businesses. From utility payments and money transfers to innovative products like Paytm Wallet, UPI, and Buy Now, Pay Later (BNPL), Paytm is a pioneer in simplifying financial transactions. For merchants, Paytm provides advanced acquiring devices, payment gateways, and value-added services like advertising and credit facilities, ensuring a robust ecosystem to enhance their operations.
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Job Description
McAfee Work from Home Freshers Hiring C++ Developer
Position Overview
The Generative AI Intern role is an exciting opportunity for students passionate about artificial intelligence to dive deep into the transformative world of generative AI. You will gain hands-on experience working with large language models (LLMs), experimenting with cutting-edge tools, and contributing to impactful projects in AI innovation.
This role emphasizes practical learning, guided mentorship, and exploration of emerging AI trends, offering an excellent foundation for a career in artificial intelligence.
Key Responsibilities
- LLM Exploration:
- Understand the capabilities and limitations of large language models.
- Conduct research on the latest advancements in generative AI.
- Hands-on Experimentation:
- Participate in guided projects and experiments with LLMs.
- Work on developing multimodal architectures.
- Prompt Engineering:
- Learn and apply the fundamentals of crafting effective prompts for AI models.
- Chatbot Development:
- Assist in improving AI-powered chatbots to enhance user interactions.
- Open-Source LLMs:
- Explore and experiment with tools like LLaMA and other open-source frameworks.
- API Interaction:
- Gain proficiency in integrating and interacting with LLMs through APIs.
Qualifications
- Education:
- Bachelor’s or Master’s in Computer Science, Artificial Intelligence, or a related field.
Technical Skills:
- Proficiency in Python with familiarity in AI/ML libraries.
- Basic understanding of machine learning concepts and frameworks.
- Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) is a plus.
- Experience:
- Hands-on experience with at least one AI-related project (e.g., coursework, hackathons, or personal projects).
Soft Skills:
- Strong interest and enthusiasm for generative AI.
- Quick learning ability and adaptability to new tools and technologies.
- Strong collaboration and communication skills to work effectively in a team.
- Bonus Points:
- Participation in AI/ML competitions or contributions to open-source projects.
Key Points for Resume Building
- AI Project Experience:
- Highlight any coursework or personal projects where you’ve implemented AI/ML models.
- Showcase specific generative AI work or experimentation with LLMs.
- Python Expertise:
- Include proficiency in Python and any relevant libraries like TensorFlow, PyTorch, or OpenAI API.
- LLM Exposure:
- Mention experience working with or researching large language models (e.g., GPT, LLaMA).
- Cloud Proficiency:
- Detail any familiarity with platforms like AWS or Google Cloud, especially for deploying AI solutions.
- Problem-Solving:
- Emphasize your ability to solve real-world problems through AI-powered solutions.
- Teamwork & Collaboration:
- Include examples of working in a collaborative environment or contributing to group projects.
- Learning Agility:
- Demonstrate your ability to pick up new technologies and frameworks quickly.
- Hackathons/Competitions:
- Add participation in AI/ML hackathons or competitive events as a highlight.
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