Senior ML Ops Engineer
4 semanas atrás
Kimberly-Clark is a leading global healthcare and hygiene company that has been innovating for over 150 years. We're committed to driving growth and impact through data-driven decision making and AI-first strategies.
Job SummaryWe're seeking a Senior ML Ops Engineer to join our high-performance Data Science and Advanced Analytics Strategy team. As a key member of our agile central team, you'll develop high-risk, high-reward data science solutions that unlock future growth of analytics-based solutions across the enterprise.
Key Responsibilities- Design, develop, and implement machine learning applications using existing and emerging technology platforms.
- Collaborate with Data Scientists and Data Architects to translate prototypes into scalable solutions.
- Build, deploy, run, and monitor ML & AI solutions bridging the gap between Data Scientists and Operations.
- Ensure models conform to the ML strategy and guidance established.
- Implement scalable and reliable systems leveraging cloud-based architectures, technologies, and platforms to handle model inference at scale.
- Deploy and manage machine learning & data pipelines in production environments.
- Work on containerization and orchestration solutions for model deployment.
- Participate in fast iteration cycles, adapting to evolving project requirements.
- Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications.
- Bachelor's degree in management information systems/technology, Computer Science, Engineering, or related discipline.
- 10+ years of experience as part of large, remote, global IT teams.
- 7+ years focused on development lifecycle product architecture design.
- 5+ years proven experience in an engineering role with a focus on MLOps, Data Engineering, ML Engineering.
- 5+ years of experience in ML Lifecycle using Azure Kubernetes service, Azure Container Instance service, Azure Data Factory, Azure Monitor, Azure DataBricks building datasets, ML pipelines, experiments, logging, and monitoring.
At Kimberly-Clark, you'll have the opportunity to work with a talented team of professionals who are passionate about driving innovation and growth. We offer a competitive salary, comprehensive benefits package, and opportunities for career development and advancement.
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