Machine Learning Engineer

🕒 May 12

Apply Now

Find Similar Remote Jobs

Receive Emails For Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

CloudWalk, Inc.

WebsiteLinkedInAll Job Openings

201 - 500 employees

💳 Fintech

🤖 Artificial Intelligence

💰 $150M Series C on 2021-11

Fintech • Blockchain • Artificial Intelligence

CloudWalk, Inc. is focused on revolutionizing the payments industry by democratizing financial services and empowering entrepreneurs through innovative solutions. Their mission is to create a fair and technologically advanced payment network on Earth and beyond. Utilizing AI and blockchain, CloudWalk offers products such as InfinitePay, a financial platform serving businesses in Brazil, and JIM, an instant payment system in the US. Stratus, their high-performance blockchain, supports global payment networks. CloudWalk emphasizes customer engagement and disruptive economic models to transform how merchants sell and profit.

📋 Description

• Engineer systems that anticipate and neutralize security threats before they reach infrastructure. • Design, train, and deploy machine learning models directly at the edge. • Bridge the gap between security intelligence and massive-scale data science. • Collaborate with red teamers and security engineers to turn attack data into proactive defense mechanisms.

🎯 Requirements

• Build edge intelligence. Design and train machine learning models focused on anomaly detection, bot mitigation, and zero-day intrusion detection. • Deploy at scale. Implement and optimize inference models to run efficiently at the edge, processing massive volumes of HTTP traffic with ultra-low latency. • Turn attacks into data. Work closely with our offensive security engineers to understand attack vectors, simulate realistic threats, and generate high-quality datasets for model training. • Automate the defense. Create robust data pipelines that continuously ingest traffic logs, monitor model performance, detect concept drift, and automate retraining based on the latest threat intelligence.

🏖️ Benefits

• Fluency in Python and SQL, with deep proficiency in ML libraries like PyTorch, TensorFlow, or Scikit-Learn. • Experience deploying machine learning models into production, specifically dealing with high-throughput, low-latency requirements. • Strong understanding of web security, HTTP protocols, and common attack vectors (e.g., OWASP Top 10, L7 DDoS, credential stuffing). • Familiarity with edge computing platforms (Cloudflare, Fastly, AWS Edge) and CDN/WAF concepts. • Solid software engineering fundamentals. You code daily and can write production-ready services in Python, Rust, TypeScript, or similar languages to integrate your models with our stack. • Experience with cloud-based infrastructure (GCP/AWS) and managing large-scale datasets. • Experience with LLMs and Agents. • As a member of a fully remote and distributed team, you are expected to complete tasks autonomously, being highly collaborative and self-driven. • Ability to communicate effectively and debate complex technical concepts in both English and Portuguese.