Assc Data Scientist – Python, SQL, API
Trabajos con UnitedHealth Group
Estamos creando oportunidades en cada rincón del mercado de salud para mejorar vidas mientras construimos carreras. Y eso significa oportunidades de crecimiento profesional continuo para usted. Mientras le apoyamos con las últimas herramientas, capacitación avanzada y la fuerza unida de los compañeros de trabajo de alto calibre, usted puede continuar siguiendo el camino del mejor trabajo de su vida. SM
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 regard 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:
- B.E/B.Tech/M.E/M.Tech
- 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
- Proficiency in using the Langchain framework
- Solid understanding of machine learning concepts and fine-tuning methodologies
- Excellent coding skills in Python, with adherence to PEP8 standards
- Basic understanding of containerization technologies such as Docker
- Solid problem-solving skills and attention to detail
- 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.
Información adicional sobre la vacante
Número de la requisición 2301858
Segmento de negocio Optum Global Advantage
Disponibilidad para viajar No
PaÃs IN
Estado de horas extras Exempt
Vacante de teletrabajo No