Senior ML Engineer

Key Responsibilities:
LLMs, GenAI & Agentic AI
●Build, fine-tune, and deploy LLMs (OpenAI, Anthropic, Llama, Mistral, DeepSeek) for clinical documentation, summarization, and decision support.
●Architect and implement RAG systems using LangChain, LlamaIndex, and vector databases.
●Develop agentic AI systems with tool-calling, planning, and autonomous workflow capabilities.
Computer Vision & Multimodal AI
●Design and optimize CV models (object detection, OCR, segmentation, video analytics).
●Deploy edge and on-device inference using TensorRT, TFLite, ONNX, and PyTorch Mobile.
●Integrate CV pipelines into AR/XR applications and real-time healthcare environments.
MLOps & Production Deployment
●Build and manage ML pipelines using MLflow, Kubeflow, SageMaker, Airflow, Prefect, or Ray.
●Deploy scalable systems using Docker, Kubernetes, Helm, and cloud-native services.
●Implement model versioning, experiment tracking, and automated training workflows.
●M...