Engineering Manager | Machine Learning | Mlops | Cloud

Purpose-driven innovation Healthcare with AI About Company I am partnering with the high-growth digital innovation arm of an established global technology corporation. They develop secure, cutting-edge AI and cloud-based SaaS solutions designed to optimize operational efficiency and transform modern healthcare. About Job Impactful Leadership: Provide hands-on technical guidance and drive daily execution for an agile, talented team of machine learning specialists. Scalable Architecture: Partner closely with engineers to design, optimize, and scale production-grade ML models and pipelines on the public cloud. Cross-Functional Synergy: Bridge the gap between research, engineering, and product teams to translate business vision into high-performing deliverables. Talent Empowerment: Actively build, mentor, and grow a best-in-class engineering culture while managing core departmental resources. Cutting-Edge Delivery: Oversee end-to-end software product shipping, prioritizing performance optimization and robust system testing. Strategic Visibility: Track and report on engineering velocity, system health, and infrastructure performance directly to senior leadership. Skills and Requirements Education: Degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical discipline. Proven Track Record: 8+ years of experience building and deploying successful machine learning software applications at scale. Leadership Experience: 3+ years of direct people management experience steering software and ML engineering professionals. Cloud Infrastructure: Strong proficiency architecting and launching complex ML applications within public cloud environments (Azure preferred). MLOps Core: Deep understanding of modern MLOps practices, automated data pipelines, and continuous integration (CI/CD) workflows. Engineering Standards: Strong grasp of robust software development practices, including Git/GitHub version control, test automation, and code reviews To apply online, please use the 'apply' function. Alternatively, for a direct conversation about this opportunity, you may contact Evangeline. (EA: 94C3609 / R24124002)