We are seeking a hands-on AI Learning Engineer to build and fine-tune generative AI, vision-language models, and classical models. The role involves productionizing models, designing robust infrastructure, and focusing on MLOps, with experience in training, optimization, serving, and A/B testing using pre-trained models and custom models. This position also includes data acquisition and integration pipelines.
Requirements
- Develop production inference stacks (Torch → ONNX → TensorRT)
- Create robust model serving infrastructure (FastAPI / gRPC services)
- Build CV solutions (object detection, theft detection, OCR, surveillance analytics)
- Fine-tune Stable Diffusion and other generative image models
- Train and fine-tune VLMs (vision-language models)
- Design, train & fine-tune GenAI models (LLMs)
- MLOps / LLMops / AIOps: CI/CD, dataset versioning, experiments tracking
- Data acquisition & pipeline work
- Third-party model integration
- Hands-on with GPU infrastructure and CUDA