onsite
AI Engineer - SGS Consulting
AI Engineer
AI Engineer responsible for building and curating large‑scale multimodal datasets, developing perception algorithms, and creating efficient research tools using Python, deep‑learning frameworks, and advanced computer vision/NLP techniques.
About the role
Key Responsibilities
- Design, implement, and optimize data curation pipelines for multimodal perception tasks (vision, language, embodied AI).
- Develop and fine‑tune large‑scale foundation models, focusing on spatial and temporal knowledge representation.
- Collaborate with research scientists to translate cutting‑edge CV/NLP algorithms into production‑ready code.
- Build and maintain high‑quality, diverse training datasets and evaluation benchmarks.
- Improve research tooling and infrastructure to accelerate experimentation and model iteration.
Requirements
- Strong proficiency in Python and deep‑learning libraries such as PyTorch or TensorFlow.
- Hands‑on experience with computer vision and natural language processing models, including transformers and convolutional networks.
- Demonstrated ability to work with large, heterogeneous datasets and implement efficient data pipelines.
- Solid understanding of spatial‑temporal modeling and experience deploying models at scale.
- Excellent problem‑solving skills and ability to work collaboratively in a fast‑moving research environment.
Skills
pythonpytorchtensorflowcomputer visionnatural language processingmachine learning