Senior Machine Learning Operations Engineer
3 semanas atrás
We are seeking a highly skilled Senior Machine Learning Operations Engineer to join our team at Kimberly-Clark. As a key member of our Data Science and Advanced Analytics Strategy team, you will play a critical role in developing and implementing machine learning solutions that drive business growth and improve customer experiences.
Key Responsibilities- Design, develop, and deploy machine learning models and applications using Azure Kubernetes Service, Azure Container Instance Service, Azure Data Factory, and Azure Monitor.
- Collaborate with data scientists to deliver large-scale analytics solutions and projects, ensuring high-quality data and feature pipelines.
- Develop and maintain streaming and batch inferencing solutions, leveraging cloud platforms and containerization technologies.
- Implement robust monitoring and logging solutions for tracking model performance and system health.
- Monitor real-time performance of deployed models, analyze performance data, and proactively identify and address performance issues.
- Troubleshoot and resolve production issues related to ML model deployment, performance, and scalability.
- 10+ years of experience in an engineering role with a focus on MLOps, Data Engineering, and ML Engineering.
- 5+ years of experience in ML Lifecycle using Azure Kubernetes Service, Azure Container Instance Service, Azure Data Factory, Azure Monitor, and Azure DataBricks.
- Strong experience with cloud platforms (AWS, Azure, etc.) and containerization technologies (Docker, Kubernetes).
- Experience with CI/CD tools such as GitHub Actions, GitLab, Jenkins, or similar tools.
- Experience with ML frameworks and libraries (TensorFlow, PyTorch, Scikit-learn).
At Kimberly-Clark, we offer a dynamic and supportive work environment, competitive compensation and benefits, and opportunities for professional growth and development. If you are a motivated and experienced Senior Machine Learning Operations Engineer looking for a new challenge, please submit your application.
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