Senior Software Engineer II – AI or ML – GCP

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 diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together.

As a Machine Learning Engineer, you will be responsible for creating machine learning models and retraining systems. You will work closely with AI Architects, Cloud Engineers, and a CRM Development Team, such as Salesforce. Your role will involve working with GenAI models like Gemini, GPT4, and others, as well as traditional machine learning models from the NLP/Deep Learning discipline. A key part of your role will be evaluating models and maintaining ethical responsibilities.

The ideal candidate for this role is a tech-savvy professional with an in-depth understanding of machine learning models and technologies. They must be able to work collaboratively with a diverse team and have a solution-oriented mindset. They should also have a solid commitment to maintaining ethical standards in their work.

Primary Responsibilities:

• Collaborate with AI Architects, Cloud Engineers, and a CRM Development Team to design and implement machine learning models and systems
• Work with GenAI models like Gemini, GPT4, as well as traditional machine learning models from the NLP/Deep Learning discipline
• Retrain existing models and systems to ensure their accuracy and efficiency
• Evaluate machine learning models and ensure they adhere to ethical standards
• Stay current with the latest trends and technologies in machine learning and artificial intelligence
• Provide technical support and guidance to the development team on machine learning-related issues
• Troubleshoot any issues related to the machine learning systems and conduct regular system tests to ensure their functionality and efficiency
• Document all procedures and systems related to the machine learning infrastructure for future reference and audits
• Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

Required Qualifications:

• 4-year bachelor’s degree in Computer Science / Information Technology / Computer Engineering from a recognized university or equivalent experience
• Experience working with AI technologies and cloud platforms (Google Cloud Platform, GCP)
• Proven experience as a Machine Learning Engineer or similar role in the industry
• Solid knowledge of GenAI models like Gemini, GPT4, and traditional machine learning models from the NLP/Deep Learning discipline
• Proficiency in Python development
• Proven excellent problem-solving and troubleshooting skills
• Proven ability to work collaboratively with a diverse team of engineers, architects, and developers

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone–of every race, gender, sexuality, age, location and income–deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes – an enterprise priority reflected in our mission.