HCLTech

AI Hackathon

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is an AI Presales Hackathon Participant in Frisco, TX, for 3 months, focusing on AI solutions in Manufacturing, Utilities, and Oil & Gas. Required skills include Python, LLMs, and cloud platforms. Candidates must be students with a strong interest in AI and business strategy.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
December 2, 2025
πŸ•’ - Duration
3 to 6 months
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🏝️ - Location
On-site
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
Frisco, TX
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🧠 - Skills detailed
#ML (Machine Learning) #Strategy #GCP (Google Cloud Platform) #AI (Artificial Intelligence) #Azure #Consulting #Langchain #Docker #Python #Kubernetes #AWS (Amazon Web Services) #Deployment #Cloud
Role description
Role: AI Presales Hackathon Participant Location : Frisco, TX Type: Hackathon / Short-term Project Duration: 3 months About the Hackathon We are hosting an exciting hackathon focused on AI for Industries such as Manufacturing, Utilties and Oil&Gas , where technology meets business strategy. This event is designed for students passionate about Gen-AI, Agentic AI, machine learning, Robotics and business solutions who want to showcase their skills in solving real-world challenges. What You’ll Do Collaborate in teams to design AI-driven solutions for Industries. Present your solution to industry experts and AI leaders. Who We’re Looking For Students who are (undergraduate or graduate) with interest in: Artificial Intelligence / Machine Learning Agentic AI Data Analytics Business Strategy & Technology Consulting Available for a full time role after 3 months Mandatory Skills Strong understanding of LLMs, agentic workflows, and AI capabilities. Strong proficiency in Python and experience with LLM-based frameworks (e.g., LangChain, AutoGen, Semantic Kernel). Hands-on experience with OpenAI, Anthropic, or similar LLM APIs. Experience with cloud platforms (Azure, AWS, GCP). Understanding of agentic workflows, tool calling, and memory/state management. Familiarity with prompt engineering and chain-of-thought reasoning. Strong communication and presentation skills. Ability to work in a team and think creatively. Additional Skills Knowledge of MLOps and deployment pipelines (Docker, Kubernetes, CI/CD). Experience with multi-agent systems or agent simulation environments. Exposure to GenAI models (text-to-image, code generation, etc.). Understanding of ethical AI principles and bias mitigation. Why Join? Gain real-world exposure to presales processes and AI applications. Network with industry professionals and hiring managers. Opportunity for career advancement in AI roles.