Lead AI Research Engineer

Ensemble Health Partners

21h

About The Position

Thank you for considering a career at Ensemble! Ensemble is a leading provider of technology-enabled revenue cycle management solutions for health systems, including hospitals and affiliated physician groups. They offer end-to-end revenue cycle solutions as well as a comprehensive suite of point solutions to clients across the country. Ensemble keeps communities healthy by keeping hospitals healthy. We recognize that healthcare requires a human touch, and we believe that every touch should be meaningful. This is why our people are the most important part of who we are. By empowering them to challenge the status quo, we know they will be the difference! O.N.E Purpose: Customer Obsession: Consistently provide exceptional experiences for our clients, patients, and colleagues by understanding their needs and exceeding their expectations. Embracing New Ideas: Continuously innovate by embracing emerging technology and fostering a culture of creativity and experimentation. Striving for Excellence: Execute at a high level by demonstrating our “Best in KLAS” Ensemble Difference Principles and consistently delivering outstanding results. The Opportunity: By embodying our core purpose of customer obsession, new ideas, and driving innovation, and delivering excellence, you will help ensure that every touchpoint is meaningful and contributes to our mission of redefining the possible in healthcare. The Senior Engineer, AI is responsible for building AI and Machine learning models and pipelines, with a focus on generative AI, LLMs and predictive modelling. The successful candidate will work closely with data scientists and product leads to implement AI models, build required data and code pipelines through rigorous engineering disciplines You should have expertise in the design, development, management, and maintenance of systems and handling of large datasets. You should have hands on experience with common machine learning and AI frameworks, and a good knowledge of AI and machine learning fundamentals (deep learning, regression, classification and clustering algorithms), retrieval augmented generation pipelines, as well as a good grasp of the design and evaluation of LLM-supported use cases. Essential Job Functions Customer Obsession: Consistently provide exceptional experiences for our clients, patients, and colleagues by understanding their needs and exceeding their expectations. Embracing New Ideas: Continuously innovate by embracing emerging technology and fostering a culture of creativity and experimentation. Striving for Excellence: Execute at a high level by demonstrating our “Best in KLAS” Ensemble Difference Principles and consistently delivering outstanding results.

Requirements

• 5 to 7 Years Desired Work Experience
• Bachelors Degree or Equivalent Experience
• 5+ years of practical experience as an engineer with focus on implementation of AI / ML machine learning solutions.
• Masters in Computer Science / Machine Learning / AI, or related work experience with the design, building and evaluation of Machine Learning systems.
• 3+ years’ experience with Machine Learning ecosystem tools, including pytorch/tensorflow, scikit-learn, xgboost or equivalents.
• Advanced knowledge of MLOps fundamentals, including orchestration tools, cloud compute, and observability tools.
• Advanced understanding of cloud platforms e.g. Azure / GCP / AWS and their AI tool set
• Practical experience working with data and code pipelines
• Ability to work independently with limited supervision
• Ability to implement, test and deploy Machine Learning models.
• Advanced knowledge in Software Development best practices such as Continuous Integration, Unit/Integration Testing, Code Reviews.
• Excellent communication skills, both written and verbal.

Nice To Haves

• Advanced experience with langchain / llamaindex / haystack / Azure AI studio, vector databases and retrieval techniques, or equivalent common tools in the emerging LLM-enable tech stack is a plus.
• Skilled in accessing and handling databases via SQL, Azure Data Factory or similar. Alternatively, familiarity with data storage/management systems or Big Data framework (like Hadoop, Spark) expected to be known or used.
• Knowledge of Revenue Cycle Management, Collections, or financial industries is desirable but not necessary.

Responsibilities

• Coordinate between Data Scientists and Product Analysts
• Automate infrastructure used by the Data Science team
• Design, develop, and deploy advanced AI models and algorithms to solve complex business problems.
• Test and deploy models
• Develop minimum viable products based on machine learning
• Automate processes by utilizing machine learning
• Lead AI projects from conception to implementation, ensuring timely delivery and high-quality outcomes.
• Ability to create AI models utilizing deep learning, neural networks, and ML algorithms to derive business insights and fuel informed decision-making
• Mentor and coach junior associates on the team
• Ability to utilize various tools and methods to process data as well as create and keep up AI systems
• Communicate findings and recommendations to stakeholders through clear and compelling data visualizations and presentations.

Benefits

• Associate Benefits – We offer a comprehensive benefits package designed to support the physical, emotional, and financial health of you and your family, including healthcare, time off, retirement, and well-being programs.
• Growth – We invest in your professional development. Each associate will earn a professional certification relevant to their field and can obtain tuition reimbursement.
• Recognition – We offer quarterly and annual incentive programs for all employees who go beyond and keep raising the bar for themselves and the company.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 501-1,000 employees