Associate AI/ML Engineer

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives.

The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best.

Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities.

Come make an impact on the communities we serve as you help us advance health optimization on a global scale.

Join us to start Caring.

Connecting.

Growing together.

AI/ML Engineers code and develop software that deploys ML models and algorithms in production.

Communicate and present complex analytics results and concepts to leadership and internal stakeholders.

Employee AI and/or ML that may include natural language processing (NLP), natural language understanding (NLU), semantic understanding, intent classification, computer vision, deep learning, and automatic speech recognition (ASR).

Applies deep learning technologies to give computers that capability to visualize, learn and respond to complex situations.

May adapt machine learning to areas such as artificial intelligence, robotics and other products that allow users to have an interactive experience.

Work with large scale computing frameworks, data analysis systems.

Employees in this role are expected to apply knowledge of experimental methodologies, statistics, optimization, probability theory and machine learning using code for tool building, statistical analysis, using both general purpose software and statistical languages.

AI/ML Applied Scientists specialize in advancing and applying artificial intelligence through research-driven, experimental research, and translate research findings into practical AI solutions for the organization.

Basic, structured, standard approach to work.

• Design, develop, and implement AI/ML models to solve complex business problems
• Collaborate with cross-functional teams to identify opportunities for AI/ML integration