IT is different here. Our work as technology specialists pushes the boundaries of what’s possible in health care. You will build solutions that make a real difference in people’s lives. Driven by the importance of their work, our team members innovate to elevate. We’re encouraged to be curious, collaborate, and turn ideas into solutions that can make health care better for all.
In this role you will serve as the Senior AI/ML scientist to identify, research, and develop transformational predictive, prescriptive, and Generative AI (GenAI) solutions that translate structured and unstructured data into sound organizational decisions. Senior AI/ML scientist will combine statistical expertise, programming skills, and data science knowledge to create impactful self-learning applications and collaborate with multidisciplinary teams to integrate AI technologies into real-world systems and solutions to achieve business goals.
The AI/ML COE builds foundational AI/ML capabilities and solutions that serve multiple cross-domain business use cases and provide thought-leadership on the potential of AI/ML in delivering transformational value for the enterprise. AI/ML COE maintains and matures BCBSNC AI/ML operations environment, and AI/ML standards & best practices to enable scaling of data science solutions from ideation to prototype, automation, productionization, and integration into business workflows. AI/ML COE also maintains a community of practice for data scientists at BCBSNC and developing partnerships with universities, and other Blues plans.
What You Will Do
Own delivery of large and/or complex machine learning (ML), deep learning (DL), and Generative AI (GenAI) systems with self-learning capabilities that can adapt and evolve over time.
Design, implement, and evaluate artificial intelligence (AI) systems that can be used in production environments to meet business needs.
Apply prescriptive analytics techniques such as optimization, recommendation systems, and reinforcement learning to business problems.
Lead in the development and testing of appropriate ML algorithms, design & conduct experiments, collect and analyze data, and optimize performance of ML algorithms.
Stay updated with the advancements in artificial intelligence, machine learning, and generative AI methods and adapt new methods to effectively solve business problems.
Benchmark against existing machine learning methods and analyze results to identify strengths, weaknesses, and areas for improvement.
Develop prototypes and proof-of-concept implementations to demonstrate the feasibility and potential of new AI technologies including Generative AI.
Lead consultation sessions with business partners to distill the business needs and provide technical guidance on predictive and prescriptive AI approaches, ensuring alignment with business goals.
Drive continuous improvement by experimenting with novel techniques and refining existing models.
Leverage deep knowledge of software engineering principles in constructing sophisticated ML models and refining existing systems.
Identify actionable insights, suggest recommendations, and influence business direction by effectively communicating results to cross functional groups.
What You Bring
Bachelor's degree or advanced degree (where required)
5+ years of experience in related field.
In lieu of degree, 7+ years of experience in related field.
Salary Range
$110,000.00 - $199,000.00
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Engineering and Information Technology
Industries
Insurance
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