remote
Generative AI & Automation - TWINN
AI Engineer
Internship focused on building generative AI models and automating workflows using Python and machine learning techniques. Gain hands‑on experience with NLP, OpenAI APIs, and automation tools while working remotely.
About the role
Key Responsibilities
- Develop and fine‑tune generative AI models for text and image generation.
- Implement automation scripts to streamline data collection, preprocessing, and model deployment.
- Collaborate with senior engineers to integrate AI solutions into existing workflows.
- Document code, experiments, and results for internal knowledge sharing.
- Participate in code reviews and contribute to best practices for AI development.
Requirements
- Strong programming skills in Python and familiarity with ML libraries (PyTorch, TensorFlow).
- Basic understanding of NLP techniques and transformer models.
- Experience with automation tools (e.g., Airflow, GitHub Actions) is a plus.
- Self‑motivated, able to work independently in a remote setting.
- Good communication skills and willingness to learn new AI technologies.
Skills
pythonmachine learninggenerative ainlp