• Job Description

  Req#: be69446b-31a8-41b7-9d1f-f586fb10a8db
  Employer Industry: Identity Verification and Digital Fraud Prevention
  
  Why consider this job opportunity:
  - Competitive salary with opportunities for performance-based bonuses
  - Opportunity for career advancement and growth within a rapidly evolving technology company
  - Work in a fast-paced, innovative environment focused on building the future of identity solutions
  - Collaborative team culture that values critical thinking and problem-solving
  - Chance to work with cutting-edge AWS-native technologies and machine learning models
  
  What to Expect (Job Responsibilities):
  - Build and maintain scalable systems and infrastructure for deploying and serving machine learning models
  - Design low-latency, fault-tolerant model inference systems using Amazon SageMaker
  - Implement safe deployment strategies, including blue/green deployments and rollbacks
  - Create and manage CI/CD pipelines for machine learning workflows
  - Monitor model performance and system health using AWS observability tools
  
  What is Required (Qualifications):
  - 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 programming skills in Python; familiarity with Go/Rust is a plus
  - Hands-on experience with model systems including low latency model serving and pipeline orchestration
  
  How to Stand Out (Preferred Qualifications):
  - 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
  
  #IdentityVerification #MachineLearning #SoftwareEngineering #AWS #CareerOpportunity
  
  "We prioritize candidate privacy and champion equal-opportunity employment. Central to our mission is our partnership with companies that share this commitment. We aim to foster a fair, transparent, and secure hiring environment for all. If you encounter any employer not adhering to these principles, please bring it to our attention immediately.
  We are not the EOR (Employer of Record) for this position. Our role in this specific opportunity is to connect outstanding candidates with a top-tier employer."

• About the company

Notice