AI Engineer - Evaluation Analytics

BlueCross BlueShield of Tennessee is hiring an AI Engineer to design and implement AI-driven solutions for enhancing business and clinical processes. The role involves collaborating with various stakeholders to translate complex data into actionable insights that inform decision-making around program effectiveness and patient outcomes.

Responsibilities:

• Ideate, develop and productionalize AI solutions for healthcare payer use cases
• Design and implement state-of-the-art AI models and algorithms using Python and GCP Vertex AI
• Collaborate with product teams to identify opportunities for applying AI techniques to solve business challenges and automate processes
• Conduct research and stay up to date with the latest advancements in AI, continuously improving our techniques and methodologies
• Develop scalable and efficient code base for deploying AI models into production environments
• Work closely with our internal Lines-of-Businesses to understand their needs, gather requirements, and translate them into actionable insights and solutions
• Lead the evaluation and validation of AI models, ensuring their accuracy, reliability, and performance meet business requirements
• Communicate findings, results, and recommendations to technical and non-technical stakeholders through presentations, reports, and documentation

Requirements:

• Master's degree in STEM (Science, Technology, Engineering or Math) or related field or equivalent work experience required
• 3 years of relevant work experience in analytics, technology, or healthcare (academic experience included), or related equivalent experience
• 1 year experience with machine learning or advanced statistical methods is required
• Experience handling large datasets to build data science pipelines
• Experience with Machine Learning, Deep Learning, Pytorch, Natural Language Processing
• Proficient in Python
• Proficient in Microsoft Office (Outlook, Word, Excel, and PowerPoint)
• Proven analysis, design, and coding skills, and demonstrated success in leading large and complex projects
• Demonstrated ability to interpret and translate technical and/or or complex concepts into information meaningful to project team members and/or business personnel
• Leadership skills
• Must be able to communicate effectively with both technical and non-technical co-workers
• Be organized, reliable, and able to manage multiple tasks with exceptional work ethic
• Master's and/or PhD degree a plus