
Cutting Edge AI Professional
2 days ago
- Design and implement advanced AI systems using deep-learning frameworks such as PyTorch, TensorFlow, and NumPy.
- Develop software-engineering principles utilizing Git, Docker, and REST / gRPC APIs.
- Fine-tune large language models (LLMs) and vision-language models (VLMs) with custom datasets.
- Apply computer vision techniques in OpenCV for face detection and posture/form recognition.
- Build data retrieval pipelines combining text, image, and sensor information; utilize vector databases and prompt engineering strategies.
- Publish and serve models using the Hub, Transformers, Datasets, and Inference Endpoints.
- Optimize model inference latency via quantization, pruning, and hardware-aware neural architecture search.
- Orchestrate automated machine learning pipelines, model registries, A/B testing, and monitoring dashboards.
This role offers opportunities for professional growth and development, exposure to cutting-edge technologies, and collaboration with experienced colleagues.
Requirements:- 4-6 years of experience in implementing deep-learning systems.
- Proficiency in Python, PyTorch, TensorFlow, and NumPy.
- Strong understanding of software engineering principles, including Git, Docker, and REST / gRPC APIs.
- Ability to fine-tune LLMs and VLMs with custom datasets.
- Experience with OpenCV and computer vision techniques.
- Knowledge of vector databases and prompt engineering strategies.
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