onsite
Applied AI Research & Engineering - Aircapture
Research Engineer
Internship focused on developing AI‑driven solutions to accelerate carbon capture, leveraging Python, deep learning frameworks, and cloud infrastructure to build scalable models and data pipelines.
About the role
Key Responsibilities
- Design, prototype, and deploy machine learning models that optimize CO₂ capture processes.
- Collaborate with cross‑functional teams to integrate AI solutions into production pipelines.
- Collect, clean, and engineer large datasets for training and evaluation.
- Experiment with state‑of‑the‑art deep learning architectures using PyTorch or TensorFlow.
- Deploy models to cloud platforms (AWS) and monitor performance in real‑time.
Requirements
- Strong programming skills in Python and experience with ML libraries.
- Familiarity with deep learning frameworks (PyTorch/TensorFlow) and model training best practices.
- Basic understanding of data engineering concepts and cloud services (AWS).
- Excellent problem‑solving abilities and a passion for sustainability.
- Effective communication skills and ability to work in a collaborative environment.
Skills
pythonmachine learningdeep learningpytorchaws