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Socure logo
Socure

The leading provider of digital identity verification and fraud solutions. Salesinfo@socure.com

Senior Software Engineer – AI/ML Platform

Full-stack EngineerSoftware EngineerOtherRemoteSeniorTeam 501-1,000Since 2012H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

176 days ago

Salary

$180K - $200K / year

Seniority

Senior

Job Description

Senior Software Engineer – AI/ML Platform

Socure

• 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.

Job 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

  • Offers Equity
  • Offers Bonus

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