Job Url: https://www.remoterocketship.com/company/socure-3/jobs/senior-software-engineer-ai-ml-platform-united-states-remote

Job Description: 
Socure
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Socure is a leading provider of AI-powered identity verification and fraud prevention solutions. Their platform, known as RiskOS™, enables organizations to make trusted identity and risk decisions, allowing for seamless onboarding and management of customers across various touchpoints. 

With real-time, accurate identity checks performed in over 190 countries, Socure helps combat identity fraud while ensuring compliance and enhancing customer experience. 

AML • Identity Verification • CIP • Compliance • Fraud Prevention


501 - 1000 employees


Founded 2012

🔒 Cybersecurity

💳 Fintech

🤝 B2B

Senior Software Engineer, AI/ML Platform
19 hours ago

🇺🇸 United States – Remote

💵 $160k - $180k / year

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

🦅 H1B Visa Sponsor

Amazon Redshift

AWS

Microservices

NoSQL

Python

PyTorch

Rust

Scikit-Learn

SQL

Tensorflow

Go

Apply Now


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📋 Description
• Design and build infrastructure that supports model training, validation, deployment, and serving at scale for Socure’s identity verification platform
• Work with AWS-native technologies focusing on low-latency microservices, automated pipelines, and robust deployment workflows
• Build and maintain scalable systems and infrastructure for deploying and serving ML models
• Design low-latency, fault-tolerant model inference systems using Amazon SageMaker
• Implement safe deployment strategies like blue/green deployments and rollbacks
• Create and manage CI/CD pipelines for ML workflows
• Monitor model performance and system health using AWS observability tools (e.g., CloudWatch)
• Develop internal tools and APIs to help ML teams deploy and monitor models easily
• Collaborate with ML engineers, data scientists, and DevOps to productionize new models
• Participate in code reviews, system design, and platform roadmap discussions
• Continuously improve deployment reliability, speed, and usability of the ML platform

🎯 Requirements
• 4+ years of experience as a software engineer, with at least 2 years focused on low latency and highly available backend systems
• Bachelor’s or Master’s degree in Computer Science, Data Science, AI, Machine Learning, or a related field
• Strong fundamentals in data structures, algorithms, and distributed computing principles
• Strong analytical and problem-solving skills, with a passion for AI and machine learning
• Strong programming skills in Python; familiarity with Go/Rust is a plus
• Hands-on experience with model systems including low latency model serving, registry, and pipeline orchestration (preferably SageMaker)
• Solid understanding of MLOps best practices, including model versioning, testing, deployment, and reproducibility
• Experience building and maintaining CI/CD pipelines for ML workflows
• Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
• Experience with database technologies (SQL, NoSQL, or data warehouses like Snowflake or Redshift)
• Must be eligible to work in the United States indefinitely without visa sponsorship

🏖️ Benefits
• Market competitive base salary
• Equity
• Comprehensive benefits
• Annual discretionary performance bonus or commission plan