AI Solutions Internship
- Researching and identifying internal and client-facing opportunities for AI integration.
- Designing and prototyping AI-powered tools using Python and libraries such as Hugging Face Transformers, LangChain, or OpenAI APIs.
- Fine-tuning or customizing existing models for specific business or content needs.
- Developing and documenting scripts, workflows, and proof-of-concept applications.
- Evaluating model performance and recommending improvements based on experimentation.
- Collaborating with internal teams to demonstrate and implement your AI solutions.
- Staying up to date with emerging frameworks, APIs, and techniques in the AI ecosystem.
- Performing ad hoc technical tasks based on your skills and our evolving needs.
- Formal training in computer science, data science, machine learning, or a related field through a college program or immersive training.
- Strong Python programming skills, including experience with libraries like pandas, numpy, and transformers.
- Familiarity with building or integrating AI/ML models (e.g., using OpenAI API, Hugging Face, LangChain, TensorFlow, or PyTorch).
- Understanding of basic NLP concepts such as tokenization, embeddings, retrieval augmented generation (RAG), and fine-tuning.
- Familiarity with version control (Git) and collaborative development practices.
- Ability to quickly learn new tools and independently implement prototypes.
- Ability to work independently with some oversight.
- Excellent problem-solving and communication skills — comfortable explaining technical work to nontechnical stakeholders.
- Curiosity, initiative, and a hands-on, experimental mindset.
- Experience deploying small applications or tools.
- Knowledge of cloud platforms (AWS, Azure, GCP) or serverless AI services.
- Experience with prompt engineering and evaluating generative model performance.
- Exposure to automation frameworks (e.g., Zapier, Make, or API-based integrations).
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