Cordoba, Argentina
Full time
R14503
About Us:
Proofpoint is a general leader in human- and agent-centric cybersecurity. We protect how people, data, and AI agents connect across email, cloud, and collaboration tools. Over 80 of the Fortune 100, 10,000 large enterprises, and millions of smaller organizations trust Proofpoint to stop threats, prevent data loss, and build resilience across their people and AI workflows. Our mission is simple: safeguard the digital world and empower people to work securely and confidently. Join us in our pursuit to defend data and protect people.
How We Work:
At Proofpoint you'll be part of a global team that breaks barriers to redefine cybersecurity guided by our BRAVE core values:
Bold in how we dream and innovate
Responsive to feedback, challenges and opportunities
Accountable for results and best in class outcomes
Visionary in future focused problem-solving
Exceptional in execution and impact
What You Bring to the Team
As a core team member,
you will play a crucial role in architecting scalable ML systems and ensuring production excellence. You will own the end-to-end development and deployment of ML models, from infrastructure design to optimization and monitoring. You work closely with data scientists, MLOps engineers, data engineers, and security specialists to ensure models scale, perform reliably, and integrate seamlessly into our production environments.
Desired Skills & Experience
- Strong software engineering fundamentals: proficiency in Python, solid understanding of data structures, algorithms, and system design.
- Experience building ML systems end-to-end: data pipelines, feature engineering, model training, model serving, and monitoring.
- Hands‑on experience with ML frameworks: PyTorch, TensorFlow, or Scikit‑learn in production settings.
- Familiarity with ML deployment and serving frameworks: MLflow, TensorFlow Serving, KServe, or similar.
- Familiarity with goLang.
- Experience with cloud platforms, particularly
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