
AI Engineer Intern
1 day ago
About 3echo:
3echo is a cross-disciplinary AI solutions and strategy firm focused on building and deploying AI systems that turn ideas into real-world outcomes. We apply advanced technology to solve problems with speed, precision, and clear strategy for ourselves and our clients.
As we expand, we are looking for interns eager to learn, build, and contribute to our AI projects while developing practical, industry-ready skills.
Position Overview:As an AI Engineer Intern at 3echo, you will assist in developing, testing, and deploying AI models and tools that support our projects. 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.
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:
- 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 (a plus):
- 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.
- 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.
- 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
Ability To Work Independently
Pipelines
Artificial Intelligence
Scripting
PyTorch
System Design
API
Python Programming
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