
AI Systems Developer
3 days ago
**Job Overview**
We are seeking an ambitious and eager individual to join our team as an AI Engineer Intern. As part of this role, you will have the opportunity to work on real-world projects, develop practical skills, and contribute to impactful initiatives within a high-performance environment.
As an AI Engineer Intern, you will assist in developing, testing, and deploying AI models and tools that support our projects. This is an ideal opportunity for students or fresh graduates looking to gain hands-on experience in AI engineering while developing industry-ready skills.
The successful candidate will have a strong foundation in Python programming, understanding of machine learning concepts, and familiarity with using Google Colab or Jupyter Notebooks for experiments. Basic use of Git or version control tools is also required. Experience with PyTorch, TensorFlow, or scikit-learn is a plus, as well as familiarity with prompt engineering, embeddings, or using LLM APIs.
**Required Skills and Qualifications**
- Python Programming: Strong foundation in Python programming is essential for this role.
- Machine Learning Concepts: Understanding of machine learning concepts, including supervised learning, model evaluation, and overfitting basics.
- Experimentation Tools: Familiarity with using Google Colab or Jupyter Notebooks for experiments.
- Version Control: Basic use of Git or version control tools is required.
**Benefits**
- Practical Experience: Opportunity to gain hands-on experience in AI engineering and develop industry-ready skills.
- Mentorship: Mentorship from experienced AI engineers and strategists within a high-performance team.
- Project Opportunities: Opportunities to work on real-world projects that will be deployed internally or for clients.
- Structured Problem-Solving: Exposure to structured problem-solving, clear system design, and AI implementation practices.
**What We Offer**
- Real-World Projects: Opportunity to work on real-world projects and develop practical skills.
- Industry-Ready Skills: Chance to develop industry-ready skills in AI engineering.
- Mentorship: Mentorship from experienced professionals within a high-performance team.
- Structured Environment: Structured environment with clear goals and expectations.
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