| Job Description: |
Role Overview Seeking an AI/ML Engineer to build, optimize, and deploy multimodal and LLM-based systems. The ideal candidate has strong experience in AI engineering, computer vision, cloud infrastructure, and applied research.
Key Responsibilities
· Develop end-to-end LLM/VLM pipelines for training, fine-tuning, and evaluation.
· Architect multi-agent AI workflows using LangGraph, Redis, and Python.
· Build scalable real-time inference services using FastAPI, vLLM, and AWS.
· Implement computer vision solutions using OpenPose, SAM2, and video classification models.
· Create automated evaluation systems using LLM-as-a-Judge, ROUGE-L, and structured decoding.
· Deploy and maintain reproducible AI infrastructure using Docker, Kubernetes, Helm, Terraform.
· Build observability dashboards and ensure performance across varied network conditions.
· Conduct benchmarking of foundation models for multimodal and medical imaging tasks.
· Contribute to research in NLP, multimodal understanding, and synthetic data generation.
Required Skills
· Python, PyTorch, LLM/VLM training, digital image processing
· Cloud & infra: AWS, Docker, Kubernetes, Helm, Terraform
· API & backend: FastAPI, Flask
· Strong foundations in NLP, multimodal ML, and evaluation methods
Preferred
· Experience with medical imaging, digital human/animation systems, or healthcare AI
· Publication record or research experience in NLP/vision
Keyword:
Skills: Digital : Machine Learning~AI & Gen AI - Products & Tools
Experience Required: 6-8 |
