AI/ML Engineer

Bachelor’s degree in Information Technology, Computer Science, Health Informatics, Life Sciences, Engineering, or a related field. Experience supporting clinical, healthcare, life sciences, or regulated technology environments. Strong understanding of clinical business processes and technology solutions. Experience gathering requirements and partnering with business stakeholders. Excellent analytical, communication, and problem-solving skills. Demonstrated ability to lead cross-functional initiatives. Preferred Qualifications Experience with Artificial Intelligence, Generative AI, Machine Learning, or intelligent automation technologies. Familiarity with Large Language Models (LLMs) such as Microsoft Copilot, Azure OpenAI, Claude, ChatGPT, or similar platforms. Understanding of AI governance, responsible AI principles, privacy, security, and compliance considerations. Knowledge of clinical trial systems, clinical data management, or life sciences technology ecosystems. Experience with cloud platforms such as Azure or AWS. Experience developing AI use cases, proof-of-concepts, or innovation initiatives. Key Success Measures Successful identification and implementation of AI-driven business improvements. Increased efficiency and productivity within clinical processes. Adoption and effective utilization of AI-enabled tools. Positive stakeholder engagement and user satisfaction. Delivery of scalable, compliant, and secure technology solutions. Contribution to innovation and digital transformation objectives.

Cox Automotive

• Indianapolis, IN
• $101,500-169,100 per year Cox Automotive is deploying enterprise AI capabilities on AWS Quick across the enterprise, helping teams work more effectively in their day-to-day operations. We are looking for …