Machine Learning Engineer

Cloudwalk

São Paulo, BR

On-site

Who this role is best for

Geared toward mid-level machine learning engineers comfortable with deploying models at the edge to detect anomalies in real time.

Best fit for

Engineers who thrive on turning attack data into proactive defense mechanisms.
— “using their attack data to train models that make those exact attack classes obsolete”
Candidates experienced in bridging security intelligence with large-scale data science.
— “bridge the gap between security intelligence and massive-scale data science”
Professionals who enjoy solving hard scaling problems in real-time defense systems.
— “If you enjoy solving hard scaling problems, weaponizing AI for defense”

Things to consider

Role involves direct collaboration with red teamers and security engineers.
— “You'll work alongside red teamers and security engineers”
Position requires designing and deploying models at the edge, not just tuning existing systems.
— “design, train, and deploy machine learning models directly at the edge”

How to stand out

Showcase experience in real-time anomaly detection systems in your resume.
— “detect anomalies, thwart intrusions, and block sophisticated attacks in real time”
Highlight past projects where you turned raw data into actionable security measures.
— “turning raw network traffic into a proactive defense mechanism”
Demonstrate your ability to collaborate with offensive security teams.
— “work alongside red teamers and security engineers”

Pace · SteadyCollaboration · MediumAutonomy · MediumDecision Impact · TeamLevel · Mid

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

design, train, and deploy machine learning models
neutralize threats before they reach infrastructure
work alongside red teamers and security engineers

Typical background

data sciencemachine learningnetwork security

Skills & requirements

Required

Machine LearningAnomaly DetectionIntrusion DetectionNetwork SecurityModel DeploymentData Science

Preferred

Real-time SystemsWAF RulesLog Analysis

Stack & domain

Machine LearningNetwork TrafficWaf RulesLog AnalysisProblem-solvingTeamworkSecurityData ScienceAI

About the role

Original posting from Cloudwalk via Lever

About the Role
At CloudWalk, our Security team doesn’t just react to threats; we engineer systems that anticipate and neutralize them before they ever reach our infrastructure. We are looking for a Machine Learning Engineer to build the intelligence layer of our edge defenses. You won’t just be tuning standard WAF rules or analyzing logs after the fact. You will design, train, and deploy machine learning models directly at the edge to detect anomalies, thwart intrusions, and block sophisticated attacks in real time.
You will bridge the gap between security intelligence and massive-scale data science, turning raw network traffic into a proactive defense mechanism. You'll work alongside red teamers and security engineers, using their attack data to train models that make those exact attack classes obsolete. If you enjoy solving hard scaling problems, weaponizing AI for defense, and protecting billions of transactions, this role is for you.

Source: Cloudwalk careers (Lever)