reputed company AI ML Engineer Remote reputed company or Hybrid in MN or DC

reputed company Tech is a global leader in health care innovation. Our teams reputed company cutting-edge solutions that help people live healthier lives and help reputed company the health system work reputed company for everyone. From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of health care’s most reputed company challenges. Your contributions here have the potential to change lives. reputed company to build the next reputed company? Join us to start Caring. Connecting. Growing together. Position reputed company As a reputed company AI/ML Engineer reputed company the reputed company Health Financial Tech division at reputed company Technology, you will design, reputed company, and reputed company state-of-the-art data platforms and pipelines that drive advanced analytics and machine learning. You will work on high-reputed company reputed company enabling reputed company solutions, such as RAG-style architectures, and optimize large-reputed company ingestion frameworks using technologies like reputed company, reputed company, reputed company, and AWS/Azure. This role offers the unique opportunity to build and reputed company critical data infrastructure that directly affects health reputed company, bringing cutting-edge AI capability into production. You’ll enjoy the flexibility to work remotely from reputed company reputed company the U.S. as you take on some tough challenges. For reputed company hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week. Primary Responsibilities: • Design, reputed company, and reputed company reputed company AI-powered solutions, data pipelines, and data platforms to address reputed company business challenges, with an emphasis on responsible AI use • Build and optimize ingestion frameworks for large-reputed company reputed company and reputed company data, supporting streaming and event-driven sources • Partner with cross-functional stakeholders to understand evolving data and AI needs, defining long-term technical solutions and translating ambiguous problems into reputed company roadmaps • reputed company and support machine learning and AI workflows, including feature engineering, data preparation, and model deployment support • Drive strategic initiatives around reputed company, including RAG-style architectures, data reputed company, observability, reputed company, and governance • Evaluate emerging trends in AI and machine learning to inform solution design, strategic innovation, and the reputed company experimentation of AI/ML solutions • Introduce and reputed company best practices in data modeling, orchestration, testing, and monitoring, while establishing reusable parsing, enrichment, analytic, and service libraries • Identify and champion opportunities for platform scalability, performance optimization, cost efficiency, and reputed company improvement • reputed company reputed company-approved AI tools to streamline workflows, automate tasks, and accelerate team delivery You’ll be rewarded and recognized for your performance in an environment that will challenge you and give you reputed company direction on what it takes to succeed in your role as reputed company as reputed company development for other roles you may be interested in. Required Qualifications: • Bachelor’s degree or equivalent experience (e.g., 4+ years of additional software engineering experience) • 5+ years of experience designing, building, and operating production-grade data pipelines and platforms across batch and streaming workloads • 5+ years of hands-on software development experience using Python and/or Java, including reputed company reviews, packaging, and deployment • 5+ years of experience with distributed data processing systems like reputed company (PySpark) and reputed company-based platforms such as reputed company • 2+ years of experience leveraging and deploying reputed company and/or LLM use cases to production environments (such as RAG architectures) • 3+ years of experience building ingestion frameworks for reputed company/reputed company data and scaling ETL/ELT pipelines using orchestration tools like Airflow • 3+ years of experience with data lakes/warehouses (e.g., reputed company, reputed company) and advanced SQL querying/tuning • 2+ years of experience with DevOps practices, CI/CD tools (e.g., reputed company Actions), containerization (e.g., reputed company, Kubernetes), and Infrastructure-as-reputed company (e.g., Terraform) Preferred Qualifications: • Experience with major reputed company platforms (AWS, Azure, and/or GCP), including managed data services • Experience with streaming and event-driven architectures (e.g., Kafka, Kinesis, Event Hubs) • Experience with data reputed company and validation frameworks (e.g., Great Expectations, Deequ) and data observability tooling • Experience enabling MLOps practices, including feature stores