Job Description

Job Description

Job Description

In this role you will democratize AI through the enterprise ML platform, accelerate the adoption of Generative Artificial Intelligence (Gen AI) and drive Responsible AI.

You’ll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges.

Primary Responsibilities:

• Develop and implement AI and machine learning strategies to drive healthcare solutions. Design plan and prioritize experimentation of machine learning and deep learning models
• Process and transform source data to be used in machine learning pipelines, leveraging distributed computing environments and parallel processing approaches.
• Build robust machine learning pipelines to support production processes
• Stay up-to-date with latest AI/ML technologies and literature recommending solutions to improve business goals
• Implement and design novel machine learning and deep learning approaches inspired by relevant literature
• Collaborate with cross-functional teams to determine applicability of AI to business problems
• Closely collaborate with the Responsible Use of AI (RUAI) team to ensure that the delivered solutions are compliant with the company policies and standards. Develop code and documentation to assist with model governance
• Clearly document and following best coding practices with R, Python, etc. along with the use of GitHub
• Create and present presentations in the form of presentations and written documents of analysis results to management and business leaders

You’ll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Required Qualifications:

• Degree in Computer Science, Mathematics, Statistics, or related field
• 3+ years of experience in AI/ML solutions delivery role
• Experience in Large Language Modeling and Transformer Architectures (BERT, GPT, etc.)
• Proficiency in AI/ML engineering systems with Python

Preferred Qualifications:

• Demonstrated experience leading and implementing AI/ML projects from ideation to evaluation, delivery, and monitoring
• Working knowledge of Software Development tools and practices including Git, etc.
• Proven track record of delivering high-impact AI/ML solutions for real-world problems and use cases
• Demonstrated superior written and verbal presentation skills with a wide range of audiences
• Experience working with healthcare data (claims, EHR, clinician notes, etc.)
• Experience implementing AI solutions in a healthcare setting

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