Machine Learning Engineer LLM Systems

Build production machine learning systems at exacare ai, focusing on Python, deep learning, and large language models. Own the lifecycle from data to deployment.

As a Machine Learning Engineer, you will research and implement modern architectures for complex business problems. You will create datasets, prototype rapidly, track experiments systematically, and deploy reliable models. Your work supports exacare ai’s healthcare platform for post-acute care facilities and agencies.

Key Responsibilities:

• Develop novel machine learning solutions using modern architectures
• Build pipelines for rapid experimentation and hypothesis testing
• Track hyperparameter, architecture, and data variation experiments
• Deploy models using CI/CD and serving frameworks
• Monitor performance, drift, reliability, and scalability

Requirements:

• Three or more years building, training, and deploying production models
• Expert-level Python proficiency
• Experience with PyTorch or modern deep learning frameworks
• Experience with LLM fine-tuning, prompt engineering, RAG, and inference
• Bachelor’s or Master’s degree in a related technical field

Apply machine learning, Python, LLM, and deployment expertise to production healthcare technology at exacare ai.