AI Engineer

February 18

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Ensemble Health Partners

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Ensemble Health Partners is a leading provider of revenue cycle management (RCM) services for healthcare organizations. They offer an end-to-end RCM solution that helps hospitals, health systems, and affiliated physician groups optimize their revenue cycles, reduce denials and underpayments, and enhance patient experiences using a combination of expert management and advanced technology. Ensemble Health Partners leverages certified operators and AI to deliver consistent results, improve collections, and support future growth for healthcare providers. They are recognized for their robust client partnerships and commitment to delivering reliable revenue lift and cost savings for their clients.

Revenue cycle consulting • Revenue cycle assessments • Revenue recovery • Revenue Cycle • EPIC

10,000+ employees

⚕️ Healthcare Insurance

☁️ SaaS

🏢 Enterprise

💰 Private Equity Round on 2022-03

📋 Description

• The Lead 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. • 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. • 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.

🎯 Requirements

• 5+ years of practical experience as an engineer with focus on implementation of AI / ML machine learning solutions. • Bachelors or 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. • Understanding of MLOps fundamentals, including orchestration tools, cloud compute, and observability tools. • Good understanding of cloud platforms e.g. Azure / GCP / AWS and their AI tool set. • Practical experience working with data and code pipelines. • Ability to implement, test and deploy Machine Learning models. • Familiarity with langchain / llamaindex / haystack / Azure AI studio, vector databases and retrieval techniques, or equivalent common tools in the emerging LLM-enabled tech stack is a plus. • Proficiency in accessing and handling databases via SQL, Azure Data Factory or similar. • Alternatively, familiarity with data storage/management systems or Big Data frameworks (like Hadoop, Spark) expected to be known or used. • Proficiency in Software Development best practices such as Continuous Integration, Unit/Integration Testing, Code Reviews. • Ability to work both independently and in a team-based, fast-paced environment. • Excellent communication skills, both written and verbal.

🏖️ 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. • Each associate will earn a professional certification relevant to their field and can obtain tuition reimbursement. • We offer quarterly and annual incentive programs for all employees who go beyond and keep raising the bar for themselves and the company.