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We are committed to bringing passion and customer focus to the business. Our team of experts is dedicated to helping our customers protect their greatest assets and biggest risks: vulnerabilities in people. With an integrated suite of cloud-based solutions, Proofpoint helps companies around the world stop targeted threats, safeguard their data, and make their users more resilient against cyber-attacks.
We are seeking a Semi-Senior Data Engineer/MLOps Engineer with at least 3 years of experience to join our collaborative Data Engineering Team. This role is crucial in designing, building, and maintaining the infrastructure that powers our machine learning and data pipelines.
As a key team member, you will focus on building and optimizing data pipelines and ensuring the scalability of mined knowledge. You will work closely with data scientists, software engineers, and security teams to enable seamless model deployment, monitoring, and maintenance.
Key Responsibilities:
- Design, build, and optimize ETL and data pipelines to support machine learning models and analytics.
- Automate ML workflows, implementing CI/CD pipelines, model versioning, and monitoring to ensure reliability in production.
- Develop and maintain cloud-based infrastructure (AWS, Kubernetes, etc.).
