Associate AI/ML Engineer

Role Overview: Optum is a global organization dedicated to improving health outcomes through the use of technology, providing care to millions of individuals worldwide. By joining our team, you will have the opportunity to directly impact health optimization on a global scale. The inclusive culture, talented colleagues, comprehensive benefits, and career development prospects at Optum will empower you to make a difference in the communities we serve. Key Responsibilities: - Build and maintain end-to-end ML pipelines, encompassing data preparation, feature engineering, model training, evaluation, and deployment. - Utilize healthcare data like EHR/EMR, claims, and clinical text to derive insights and support analytics solutions. - Apply AI/ML techniques, including NLP, deep learning, and predictive modeling, to address business and clinical challenges. - Collaborate with diverse teams to transform requirements into scalable AI-driven solutions. - Effectively communicate model outcomes and analytical insights to stakeholders in a clear and structured manner. - Ensure adherence to engineering standards, MLOps practices, and healthcare compliance requirements such as HIPAA. Qualifications Required: - Bachelor's degree in Computer Science, AI/ML, Data Science, Statistics, or a related field. - 1+ years of experience in machine learning, AI development, GenAI, RAG, or data-driven engineering roles. - Proficiency in Python and hands-on experience with ML frameworks like Scikit-learn, TensorFlow, or PyTorch. - Strong grasp of machine learning fundamentals, statistics, and data modeling concepts. - Familiarity with data tools such as Pandas, NumPy, and SQL. - Familiarity with cloud platforms like Azure, AWS, or GCP and basic deployment concepts. - Exposure to healthcare data and systems, including EHR, claims, and clinical datasets. Additional Details of the Company: At UnitedHealth Group, the mission is to enhance the quality of life for individuals and improve the functionality of the healthcare system for all. The organization is committed to promoting equitable access to health services and reducing health disparities, particularly among marginalized communities. By prioritizing environmental sustainability and delivering inclusive care, UnitedHealth Group aims to address systemic barriers to good health and drive positive health outcomes for all. Role Overview: Optum is a global organization dedicated to improving health outcomes through the use of technology, providing care to millions of individuals worldwide. By joining our team, you will have the opportunity to directly impact health optimization on a global scale. The inclusive culture, talented colleagues, comprehensive benefits, and career development prospects at Optum will empower you to make a difference in the communities we serve. Key Responsibilities: - Build and maintain end-to-end ML pipelines, encompassing data preparation, feature engineering, model training, evaluation, and deployment. - Utilize healthcare data like EHR/EMR, claims, and clinical text to derive insights and support analytics solutions. - Apply AI/ML techniques, including NLP, deep learning, and predictive modeling, to address business and clinical challenges. - Collaborate with diverse teams to transform requirements into scalable AI-driven solutions. - Effectively communicate model outcomes and analytical insights to stakeholders in a clear and structured manner. - Ensure adherence to engineering standards, MLOps practices, and healthcare compliance requirements such as HIPAA. Qualifications Required: - Bachelor's degree in Computer Science, AI/ML, Data Science, Statistics, or a related field. - 1+ years of experience in machine learning, AI development, GenAI, RAG, or data-driven engineering roles. - Proficiency in Python and hands-on experience with ML frameworks like Scikit-learn, TensorFlow, or PyTorch. - Strong grasp of machine learning fundamentals, statistics, and data modeling concepts. - Familiarity with data tools such as Pandas, NumPy, and SQL. - Familiarity with cloud platforms like Azure, AWS, or GCP and basic deployment concepts. - Exposure to healthcare data and systems, including EHR, claims, and clinical datasets. Additional Details of the Company: At UnitedHealth Group, the mission is to enhance the quality of life for individuals and improve the functionality of the healthcare system for all. The organization is committed to promoting equitable access to health services and reducing health disparities, particularly among marginalized communities. By prioritizing environmental sustainability and delivering inclusive care, UnitedHealth Group aims to address systemic barriers to good health and drive positive health outcomes for all.