Join Optum, a global leader in health optimization, where technology and care converge to improve millions of lives. You'll be instrumental in advancing health outcomes by connecting individuals with essential care, pharmacy benefits, data, and resources.

Our inclusive culture fosters collaboration with talented peers, offers comprehensive benefits, and provides robust career development opportunities. Contribute to a global scale while making a tangible impact on the communities we serve. Embrace our mission: Caring. Connecting. Growing together.

As an AI/ML Engineer, you will architect and implement a cutting-edge AI-focused ecosystem, integrating diverse data sources (PDFs, Excel, APIs, etc.) for ML, GenAI, and LLM applications. Identify and implement AI/ML solutions within Sales and Digital domains to elevate user experience, automate manual processes, and perform predictive analysis on consumer journeys and competitive landscapes.

Key responsibilities include: - Designing, developing, and deploying AI/ML models for complex business challenges. - Collaborating with cross-functional teams to pinpoint AI/ML integration opportunities. - Conducting in-depth data analysis and interpreting findings to guide strategic decisions. - Staying abreast of the latest advancements in AI/ML.

We are seeking a proficient AI/ML Engineer with a strong command of Python and a deep understanding of AI/ML concepts. A minimum of 5 years of experience with Python and data science libraries like scikit-learn and Databricks is required. Demonstrable experience (3+ years) in applying NLP techniques (transformers, GPT) in production environments with substantial data volumes is essential.

Furthermore, you should possess at least 2 years of experience leveraging LLMs (RAG, vector databases, embeddings) for real-world problem-solving. Experience with applying data science techniques in commercial enterprises, including supervised/unsupervised learning, NLP, and time-series forecasting, is crucial. Proficiency in building APIs for models and experience with at least one major cloud platform (Azure, AWS, GCP) are necessary. Azure experience is a plus.

Ideal candidates are organized, self-motivated individuals with a drive to work independently. Excellent written and verbal communication skills, including the ability to present complex analyses to diverse audiences, are a must. Strong analytical, quantitative, problem-solving, and critical thinking abilities are expected.