
Building and Deploying Next Generation AI Systems
7 days ago
This role is ideal for students or fresh graduates seeking hands-on AI experience while contributing to impactful initiatives within a structured, high-performance environment.
As an AI Engineer Intern, you will assist in developing, testing, and deploying AI models and tools that support our projects.
Key Responsibilities:
- Assist in training, testing, and refining AI models for data processing, content generation, and automation tasks.
- Develop and maintain scripts for data collection, cleaning, and preparation.
- Support the integration of AI models into operational workflows and pipelines.
- Conduct basic research on AI tools and technologies to support ongoing initiatives.
- Collaborate with the team to improve model outputs and systems.
- Document technical work clearly for team reference and knowledge sharing.
Required Skills:
- Basic proficiency in Python programming.
- Understanding of machine learning concepts (supervised learning, model evaluation, overfitting basics).
- Familiarity with using Google Colab or Jupyter Notebooks for experiments.
- Basic use of Git or version control tools.
- Comfort with data analysis using Pandas, NumPy, or similar libraries.
Preferred Skills:
- Experience with PyTorch, TensorFlow, or scikit-learn for simple model training or experimentation.
- Familiarity with prompt engineering, embeddings, or using LLM APIs (OpenAI, Claude, Gemini).
- Exposure to API integration and simple scripting for workflow automation.
- Having prior experience or coursework in Artificial Intelligence projects.
Requirements:
- Current student or recent graduate in Computer Science, Data Science, Engineering, or a related field.
- Eagerness to learn, experiment, and take ownership of tasks.
- Good problem-solving skills and attention to detail.
- Ability to work independently while communicating progress clearly.
What You Will Gain:
- Practical, hands-on experience building and testing AI systems in a real-world environment.
- Mentorship from experienced AI engineers and strategists within a high-performance team.
- Opportunities to work on projects that will be deployed internally or for clients.
- Exposure to structured problem-solving, clear system design, and AI implementation practices.
TensorFlow, Machine Learning, Data Analysis, Artificial Intelligence, System Design
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