Senior Software Engineer, AI/ML Platform - Remote

Overview

As a Senior Software Engineer on Socure’s AI Platform team, you’ll design and build infrastructure that supports model training, validation, deployment, and serving at scale.

In Short

• 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 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).

Benefits

• Equal opportunity employer valuing diversity.
• Work on impactful real-time identity verification and fraud prevention.
• Collaborate with leading organizations in various sectors.
• Engage in a fast-paced environment focused on engineering excellence.
• Opportunity for professional growth and development.