AI Engineer

Ensemble Health Partners is a leading provider of technology-enabled revenue cycle management solutions for health systems. The Lead AI Engineer will design and implement AI and machine learning models and pipelines to address healthcare's toughest challenges, ultimately improving patient outcomes.

Responsibilities:

• Frequent travel may be required
• Design and develop AI algorithms and systems for clinical applications
• Evaluate and deploy models to address complex problems with multimodal data sets
• Utilize advanced techniques (deep learning, neural networks, ML algorithms) to generate business insights drive decision-making
• Automate processes and build infrastructure for the AI team and collaborators
• Foster collaboration between Data Scientists, Product Analysts and the wider organization
• Drive innovation to scale growth through technology, standardization and optimization, ensuring a gold standard of excellence

Requirements:

• 5+ years' experience implementing AI / ML machine learning solutions
• Ability to travel as needed
• Bachelors / Masters in relevant fields or equivalent experience in designing, building and evaluating Machine Learning systems
• 3+ years' experience with tools such as pytorch/tensorflow, scikit-learn, xgboost or equivalent
• Understanding of MLOps, cloud platforms (Azure / GCP / AWS) and AI toolsets
• Experience with data / code pipelines and deploying Machine Learning models
• Familiarity with LLM-enabled tools (e.g. langchain / llamaindex / haystack / Azure AI studio, vector databases) and retrieval techniques
• Strong database skills (SQL, Azure Data Factory, etc.) or Big Data Frameworks (e.g. Hadoop, Spark)
• Skilled in Software Development best practices (Continuous Integration, Unit/Integration Testing, Code Reviews)
• Works well independently and in a team-based, fast-paced environment
• Excellent written and verbal communication skills
• 7 to 10 Years
• Bachelor's/Master's Degree or Equivalent Experience