Empresa

Superprof permite a miles de personas encontrar profesores particulares y progresar en más de 2000 disciplinas: matemáticas, inglés, dibujo, deportes. En 10 años, Superprof se ha convertido en un líder mundial en clases particulares, con presencia en más de 70 países.

¿La clave del éxito? Ofrecer a los profesores máxima flexibilidad, libertad con un modelo de 0% comisiones.

Ventajas

Gratuito, abierto y sin intermediarios, Superprof te ofrece la posibilidad de dar clases particulares y compartir tus conocimientos en el tema que elijas. Crear tu anuncio sólo te llevará unos minutos, es gratuito y completamente gratuito. Miles de estudiantes encuentran cada día a su profesor en Superprof.

¿Cómo funciona?

- Puedes publicar tu anuncio de profesor gratis
- Los estudiantes se ponen en contacto contigo
- Das tus clases y te pagan (0% comisión)

Con Superprof tú eliges

- Tus tarifas: entre $8.000/h y $20.000/hora
- Los alumnos a quienes enseñas
- El pago lo arreglás directamente con el alumno.
- Tu horario 100% flexible
- Para impartir tus clases presenciales o online

Misión

Nous recherchons un professeur Matémática pour un accompagnement personnalisé en Córdoba. Les élèves souhaitent en moyenne prendre des cours 3 fois por semana afin d'améliorer leur niveau général.

Requisitos

- Seriedad
- Profesionalismo
- Puntualidad
- Pedagogía
- Disponibilidad
- Proactividad
- Pasion
- Simpatía

About Us

Proofpoint is a global 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.

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.

The Role

As a Senior or Staff Engineer, you will partner with other developers, threat analysts, and data scientists to understand what data, services, and workflows they need in order to support critical business and security use cases. You will design, build, and improve data pipelines, platform capabilities, and supporting services that ingest, transform, store,



and expose large-scale security data.

Your work will directly influence how quickly and effectively Proofpoint can detect emerging threats, understand attacker behavior, and improve protections for our customers.

What you'll do

- Define new pipelines or datasets to investigate an emerging campaign
- Implement or improve a production service that makes the data available in near real time to internal users
- Work with large, messy, high-volume datasets and modern cloud services to build systems that are scalable, maintainable, and operationally sound
- Build or maintain shared platform services, improve observability, harden reliability, or review architectural choices for a new internal capabilities
- Help lead technical discussions, identify opportunities to simplify or strengthen shared systems, and guide implementation approaches across projects and engineers
- Think beyond just code delivery, including testing, monitoring, alerting, documentation, and long-term maintainability

What we're looking for

- An inquisitive mindset and the ability to learn where data exists in a large, distributed system, what it means, and how it can be used effectively
- Strong ability to build reliable services, tools, and data pipelines that make complex data usable at scale
- A commitment to engineering quality, including testing, operational readiness, and maintainable design
- Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience
- 7+ years of relevant engineering experience
- Expert-level proficiency in at least one of the following languages: Java, Golang, Node.js, Scala, or Go
- Experience designing, building, and operating production-level software in a public cloud environment
- Experience building systems with strong operational foundations, including testing, monitoring, and alerting, to support demanding SLAs at scale
- Experience with relational databases and SQL such as MariaDB and MySQL required
- Recent hands-on experience with Elasticsearch required
- Experience building and maintaining backend services, data pipelines, or other high-volume distributed systems
- Comfort working in Linux/Unix environments and using CLI-based development and debugging workflows
- Experience with AWS services,



especially data and serverless technologies such as SQS, Lambda, Glue, or Spark (Preferred)
- Experience working with large-scale analytics or near-real-time data processing systems (Preferred)
- Familiarity with go Lang (Preferred)

Key Responsibilities

- Design and build scalable ML pipelines and data infrastructure for high-throughput threat detection systems
- Own the end-to-end deployment and monitoring of ML models in production, including A/B testing and performance optimization
- Architect model serving solutions (REST APIs, batch prediction, streaming) that meet latency and throughput requirements
- Build feature pipelines and data infrastructure to support model training and inference at scale
- Collaborate with data scientists to understand model requirements and translate them into production systems
- Implement monitoring, logging, and alerting for ML models in production to detect performance degradation and failures
- Optimize model performance and resource utilization, managing compute costs and inference latency tradeoffs
- Actively engage with the team including data scientists, engineers, ML platform specialists, security analysts, and product management to deliver robust solutions

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, Tensor Flow, Scikit-learn in production settings
- Familiarity with ML deployment and serving frameworks: MLflow, Tensor Flow Serving, KServe, or similar
- Familiarity with go Lang
- Experience with AWS services, particularly EC2, S3, Sage Maker, Lambda, RDS for building scalable systems
- Understanding of software engineering best practices: testing, CI/CD, code review, and version control
- Basic understanding of adversarial ML concepts and security analytics is a plus

Why Proofpoint?

- Competitive compensation
- Comprehensive benefits
- Career success on your terms
- Adaptable work environment
- Annual wellness and community outreach days
- Always on recognition for your contributions
- General collaboration and networking opportunities

Our Culture

Our culture is rooted in values that inspire belonging, empower purpose and drive success-every day, for everyone. We encourage applications from individuals of all backgrounds, experiences, and perspectives. If you need accommodation during the application or interview process, please reach out to .

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📌 Analista De Costos Industriales - Córdoba (Presencial)
🏢 ManpowerGroup
📍 Córdoba