Master Data Engineer for Advanced Machine Learning Operations
2 weeks ago
As a highly skilled Senior Data Engineer, you will play a vital role in our company's mission to advance science and improve healthcare outcomes. Our team is dedicated to developing innovative solutions that make a tangible difference in people's lives.
The OpportunityJoin us in creating cutting-edge machine learning operations tools and platforms that drive business growth and customer satisfaction. As a member of our Analytics & Insights Product Line, you will be part of a dynamic team that thrives on collaboration and continuous learning.
Key Responsibilities:- Design and implement MLOps frameworks and platforms for data science projects.
- Develop and maintain automated pipelines for data processing and model deployment.
- Conduct internal training sessions on the benefits and best practices of MLOps.
- Minimum 5 years of experience in MLOps with a proven track record of delivering high-quality results.
- Expertise in Kubernetes and containerization.
- Experience with popular MLOps frameworks such as Kubeflow and AWS Sagemaker.
- Strong understanding of machine learning concepts and hands-on experience with ML model development.
- Proficiency in Python programming with expertise in automation and DevOps tools.
- Good knowledge of Bash scripting and Unix command line utilities.
- Experience with CI/CD pipeline implementation and cloud infrastructure management.
- Strong communication and project management skills.
A career with us offers unparalleled opportunities for growth, innovation, and personal fulfillment. Join our community of passionate professionals who are shaping the future of healthcare together.
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