Engineering Manager | Machine Learning | MLOPs | Leadership
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Leadership role, Healthcare with AI!
about company
We are currently partnering with a prominent global technology firm that builds secure, intelligent software solutions to modernize healthcare delivery. They specialize in deploying cloud-native platforms that significantly improve patient care quality and optimize operational efficiency across the regional medical ecosystem.
about job
You will be focusing on the following:
Technical Leadership: Lead day-to-day agile workflows and drive the execution of high-performing engineering initiatives within a collaborative, fast-paced environment.
Architecture & Development: Partner closely with engineering pods to design, develop, and optimize scalable cloud-hosted infrastructures and data pipelines.
Cross-Functional Bridge: Align with product and commercial teams to translate strategic goals into concrete technical specifications and production-ready milestones.
Innovate & Ship: Collaborate with data researchers and software specialists to launch sophisticated, production-grade applications that drive business expansion.
Team Scaling & Culture: Mentor, upskill, and actively build out a high-caliber engineering department focused on technical excellence.
Operational Reporting: Monitor and deliver regular insights to senior leadership regarding system stability, development timelines, and infrastructure performance.
Skills requirements
Degree (Bachelor's or Master's) in Computer Science, Computer Engineering, Electrical Engineering, or a related technical discipline.
Minimum 8 years of proven success building and scaling complex, production-level software solutions.
People Management, minimum 3 years of direct experience leading, mentoring, and managing engineering teams.
Deep fundamental knowledge of advanced machine learning and deep learning methodologies.
Cloud Infrastructure: Strong proficiency in architecting and deploying solutions on public cloud platforms, specifically Microsoft Azure or similar environments.
Modern Tooling & MLOps: Mastery of software delivery practices, including CI/CD automation, GitHub version control, rigorous testing frameworks, and robust data pipeline construction.
To apply online please use the 'apply' function, alternatively you may contact Evangeline. (EA: 94C3609/ R24124002)