Design, implement, and productionize ML solutions using LLMs and LangChain. Apply fine-tuning and RAG, develop code to PEP8 standards, use Docker and Git, test and document production-quality systems, and work with traditional ML methods like XGBoost and K-means.
Requisition Number: 2340294
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 looking for a talented and motivated Data Scientist to join our team. The perfect candidate will have experience with LLMs and be skilled in developing and implementing machine learning solutions. You will utilize the Langchain framework to work with both closed source and open source models, and apply fine-tuning and Retrieval-Augmented Generation (RAG) methodologies to optimize language models for specific tasks and datasets.
Primary Responsibilities:
Required Qualifications:
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.
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 looking for a talented and motivated Data Scientist to join our team. The perfect candidate will have experience with LLMs and be skilled in developing and implementing machine learning solutions. You will utilize the Langchain framework to work with both closed source and open source models, and apply fine-tuning and Retrieval-Augmented Generation (RAG) methodologies to optimize language models for specific tasks and datasets.
Primary Responsibilities:
- Develop and implement machine learning solutions using LLMs
- Utilize the Langchain framework for working with closed source and open source models
- Apply fine-tuning methodologies to optimize machine learning models for specific tasks and datasets
- Write clean, maintainable, and efficient code adhering to PEP8 standards
- Utilize containerization technologies such as Docker for development and deployment
- Ensure the production quality of code, including thorough testing and documentation
- Be comfortable working on the terminal for various development and deployment tasks
- Work on traditional machine learning methods like XGBoost for classification tasks and unsupervised learning techniques like K-means
- 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:
- Bachelor of Engineering or equivalent
- Experience with Retrieval-Augmented Generation (RAG) techniques
- Experience in ensuring the production quality of code, including thorough testing and documentation
- Experience with version control systems such as Git
- Proven experience with LLMs
- Solid understanding of machine learning concepts and fine-tuning methodologies
- Basic understanding of containerization technologies such as Docker
- Proficiency in using the Langchain framework
- Proven excellent coding skills in Python, with adherence to PEP8 standards
- Proven solid problem-solving skills and attention to detail
- Proven ability to write clean, maintainable, and efficient code
- Comfortable working on the terminal for various development and deployment tasks
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.
Top Skills
Python,Langchain,Llms,Retrieval-Augmented Generation (Rag),Docker,Git,Xgboost,K-Means,Pep8,Terminal
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