AI/ML Engineer

As a AI/ML Engineer, Candidate will be responsible for creating machine learning models and retraining systems. He will work closely with AI Architects, Cloud Engineers, and a CRM Development Team, such as Salesforce. 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 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 strong commitment to maintaining ethical standards in their work.

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.
– Undergraduate degree or equivalent experience.
Required Skills
4 year bachelor’s degree in Computer Science / Information Technology / Computer Engineering from a recognized university or equivalent experience
Proven experience as a Machine Learning Engineer or similar role in the industry.
Strong knowledge of GenAI models like Gemini, GPT4, and traditional machine learning models from the NLP/Deep Learning discipline.
Proficiency in Python development.
Experience working with AI technologies and cloud platforms (Google Cloud Platform, GCP).
Excellent problem-solving and troubleshooting skills.
Ability to work collaboratively with a diverse team of engineers, architects, and developers.
Nice to Have
Machine Learning certifications.
Experience in a Healthcare Payer enterprise.
Proficient in CRM platforms, such as Salesforce.
Knowledge of data privacy regulations and practices.
Experience in training team members on machine learning technologies and applications.
Strong communication and project management skills.
Careers with Optum. Here’s the idea. We built an entire organization around one giant objective; make the health system work better for everyone. So when it comes to how we use the world’s large accumulation of health-related information, or guide health and lifestyle choices or manage pharmacy benefits for millions, our first goal is to leap beyond the status quo and uncover new ways to serve. Optum, part of the UnitedHealth Group family of businesses, brings together some of the greatest minds and most advanced ideas on where health care has to go in order to reach its fullest potential. For you, that means working on high performance teams against sophisticated challenges that matter. Optum, incredible ideas in one incredible company and a singular opportunity to do your life’s best work.^SM

Diversity creates a healthier atmosphere: UnitedHealth Group is an Equal Employment Opportunity/Affirmative Action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.

UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.