As a Lead AI Engineer, you’ll design and implement AI and machine learning models and pipelines – focusing on generative AI, large language models (LLMs) and predictive analytics
Job Summary
As a Lead AI Engineer, you’ll design and implement AI and machine learning models and pipelines – focusing on generative AI, large language models (LLMs) and predictive analytics.
By leveraging cutting-edge AI technology, you will play a vital part in reducing healthcare costs, revolutionizing care delivery and enhancing the patient experience.
Ensemble is a leading provider of technology-enabled revenue cycle management solutions for health systems, investing over $70 million annually in technology research and development.
Matching Summary
As a Lead AI Engineer, you’ll design and implement AI and machine learning models and pipelines – focusing on generative AI, large language models (LLMs) and predictive analytics.
Skills & Requirements
Must-have
Generative AI
Large Language Models (LLMs)
Predictive analytics
Retrieval Augmented Generation (RAG) pipelines
AI frameworks
System design
Nice-to-have
Human-centered solutions
Entrepreneurial culture
Continuous innovation
Customer obsession
Collaboration with data scientists
Key Requirements
5+ years experience implementing AI/ML solutions
Bachelors/Masters in relevant fields or equivalent experience
3+ years experience with PyTorch/TensorFlow/scikit-learn/xgboost
Experience with MLOps and cloud platforms (Azure/GCP/AWS)
Experience with LLM-enabled tools and vector databases
Strong database skills (SQL, Azure Data Factory) or Big Data Frameworks (Hadoop, Spark)