AI ML Engineer

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. The AIML Engineer is responsible for designing and implementing an AI focused architecture involving different data sources (pdfs, excels, macros, APIs, etc) prepared for different models (ML,GenAI and LLMs) that work in a cohesive way for various use cases for the consumers.

Engineer will also be responsible for finding AIML opportunities and implementing AI/ML solutions within Sales and Digital space to improve/enhance user experience, automate manual process and make predictive analysis in consumer journey and support with competitive analysis and study. The candidate should be proficient in Python and have a solid understanding of AI/ML concepts and techniques.

AI/ML Engineers code and develop software that deploys ML models and algorithms in production. Communicate and present complex analytics results and concepts to leadership and internal stakeholders. Employee AI and/or ML that may include natural language processing (NLP), natural language understanding (NLU), semantic understanding, intent classification, computer vision, deep learning, and automatic speech recognition (ASR). Applies deep learning technologies to give computers that capability to visualize, learn and respond to complex situations. May adapt machine learning to areas such as artificial intelligence, robotics and other products that allow users to have an interactive experience. Work with large scale computing frameworks, data analysis systems. Employees in this role are expected to apply knowledge of experimental methodologies, statistics, optimization, probability theory and machine learning using code for tool building, statistical analysis, using both general purpose software and statistical languages. AI/ML Applied Scientists specialize in advancing and applying artificial intelligence through research-driven, experimental research, and translate research findings into practical AI solutions for the organization.

Primary Responsibilities

• Design, develop, and implement AI/ML models to solve complex business problems
• Collaborate with cross-functional teams to identify opportunities for AI/ML integration
• Conduct data analysis and interpret results to drive decision-making
• Stay current with the latest trends and advancements in the field of AI/ML
• Analyzes and investigates
• Provides explanations and interpretations within area of expertise
• 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 Ai Scientist Responsibilities: (manager discretion if AI responsibilities are already present in JD): Collaborate with research, engineering, and product teams to translate cutting-edge AI advancements into production-ready capabilities. Uphold ethical AI principles by embedding fairness, transparency, and accountability throughout the model development lifecycle.

Required Qualifications

• Undergraduate degree or equivalent experience
• 5+ years of experience in Python using common data science libraries such as scikit-learn and Databricks
• 3+ years of experience applying NLP (transformers, gpt,etc) in a production setting using large amounts of data
• 2+ years of experience applying LLMs (RAG, vector db, embeddings) to solve real world problems
• Experience applying data science techniques in a commercial enterprise, including supervised, unsupervised learning, NLP, time-series forecastin…