Socure · 18 hours ago
Senior Software Engineer – AI/ML Platform
Socure is a company focused on AI technology, and they are seeking a Senior Software Engineer for their AI Platform team. The role involves designing and building infrastructure for model training, validation, deployment, and serving at scale, utilizing modern AWS-native technologies.
Artificial Intelligence (AI)Cyber SecurityFraud DetectionIdentity ManagementInformation ServicesInformation TechnologyMachine LearningPredictive Analytics
Responsibilities
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
Qualification
Required
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 with a strong academic record
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)
Preferred
Experience building internal ML platform services or self-service tooling for model deployment and monitoring
Understanding of model optimization techniques (e.g., TorchScript, ONNX, quantization, batching)
Experience with feature stores, real-time feature serving, or caching systems for ML workloads
Background in deploying ML models into high-availability, mission-critical environments
Company
Socure
Socure is a predictive analytics platform for digital identity verification of consumers.
Funding
Current Stage
Late StageTotal Funding
$744.4MKey Investors
Capital One VenturesAccelSorenson Ventures
2023-03-08Debt Financing· $95M
2021-11-09Series E· $450M
2021-06-03Series Unknown
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