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Associate AI/ML Engineer (RAG/LLM)

  • Source: Taleo
  • Optum
  • $77,000 to $137,600 /yr
  • Hybrid
  • Basking Ridge
  • Full-Time
  • Junior

Job Description

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.

We are seeking an entry-level AI Engineer to help build and optimize our machine learning systems. In this role, you will work on data-matching projects, automate workflows, and implement Retrieval-Augmented Generation (RAG) patterns to improve data processing accuracy.

Location: If New Jersey is based this role will be hybrid. Open to remote for outside of New Jersey

If you reside in the state of New Jersey, you’ll enjoy the flexibility to telecommute* as you take on some tough challenges.

Primary Responsibilities:

  • Model Support: Assist in building and tuning machine learning and NLP models
  • Design, develop, and deploy AI-powered solutions using no-code, low-code, and advanced platforms, translating business needs into scalable applications that enhance products, workflows and decision-making
  • RAG Development: Support the implementation of RAG pipelines and search systems
  • Data Pipelines: Write Python code to clean, transform, and prepare large datasets
  • Cloud Integration: Help deploy and run AI models within cloud environments
  • Model Support: Assist in building and tuning machine learning and NLP models.
  • RAG Development: Support the implementation of RAG pipelines and search systems.
  • Data Pipelines: Write Python code to clean, transform, and prepare large datasets.
  • Cloud Integration: Help deploy and run AI models within cloud environments.

You’ll be rewarded and recognized for your performance in an environment that will challenge you and give you clear directions on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Required Qualifications:

  • Bachelor’s degree in computer science, Data Science, or a related field
  • 2+ years of experience programming skills in Python and standard ML libraries
  • 1+ Knowledge of RAG pipelines, vector databases, or LLM workflows

Preferred Qualifications:

  • Hands-on experience with AWS services and architecture
  • Basic understanding of infrastructure tools like Terraform
  • All Telecommuters will be required to adhere to UnitedHealth Group’s Telecommuter Policy.

Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you’ll find a far-reaching choice of benefits and incentives. The salary for this role will range from $77,000 to $137,600 annually based on full-time employment. We comply with all minimum wage laws as applicable.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.

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.

*Diversity creates a healthier atmosphere: UnitedHealth Group is an Equal Employment Opportunity/Affirmative Action employer and all quali…

Skills

  • Python
  • runai
  • amazon-web-services
  • Terraform
  • taleo
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