Machine Learning Engineer

• Design, develop, and deploy AI/ML and Generative AI solutions addressing business and operational challenges at enterprise scale
• Build and maintain infrastructure, pipelines, and services connecting structured and unstructured data sources for AI-driven applications
• Develop reusable AI capabilities including RAG pipelines, vector search, semantic retrieval, prompt orchestration, and agentic workflows
• Implement evaluation frameworks and automated testing strategies measuring model quality, accuracy, bias, safety, and performance
• Establish monitoring, observability, and governance processes to keep AI systems reliable and compliant in production
• Collaborate with engineering and product teams to integrate AI capabilities into enterprise platforms and applications
• Drive adoption of Responsible AI practices through evaluation standards, audit-ready documentation, and model governance controls
• Optimize AI systems for scalability, latency, reliability, and cost efficiency
• Support experimentation, benchmarking, and model comparison to improve decision-making and accelerate AI innovation
• Partner with cross-functional stakeholders to translate business requirements into production-ready AI capabilities and services
• Contribute to technical standards, architecture decisions, and enterprise AI engineering best practices
• Develop experimental and analytic plans for machine learning algorithms and data modeling processes, using strong baselines and determining cause-and-effect relationships
• Enable responsible and scalable adoption of AI across Elevance Health’s healthcare enterprise

AI Machine Learning Scientist

• Develop novel machine learning models for molecular and multi-omics data analysis, representation learning, and predictive modeling
• Develop methods for learning robust patient and molecular representations from large-scale genomic, transcriptomic, and other molecular profiling datasets
• Design and implement scalable pipelines for molecular data integration, feature representation, and downstream machine learning applications
• Investigate and apply advanced AI approaches, including foundation models, self-supervised learning, transformer architectures, graph-based methods, and other emerging machine learning techniques
• Collaborate with researchers, clinicians, and data scientists on translational cancer research projects, scientific publications, and grant development
• Present research findings at scientific meetings
• Contribute to manuscripts, reports, and funding applications

Applied Machine Learning Postdoctoral Fellow

• Design and refine prompts
• Help build LLM-powered workflows
• Support development of retrieval augmented systems
• Improve decision making and operational efficiency
• Apply broader IT and technical experience to scalable AI/ML solutions
• Collaborate with senior technical leaders on AI/ML direction
• Execute hands-on AI/ML work for real mission applications
• Collaborate with cross-functional technical and mission teams
• Apply modern AI practices in secure, regulated environments

Machine Learning Engineer jobs in Florida

AI Machine Learning Scientist

Applied Machine Learning Postdoctoral Fellow

AI/ML Engineer