Socure is looking to solve the problem of verifying 100% of good identities in real time and eliminating identity fraud from the internet by building and maintaining scalable systems and infrastructure for deploying and serving ML models.
Requirements
- 4+ years of experience as a software engineer, with at least 2 years focused on low latency and highly available backend systems.
- 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, 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.
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.
Other
- Bachelor’s or Master’s degree in Computer Science, Data Science, AI, Machine Learning, or a related field with a strong academic record.
- Strong analytical and problem-solving skills, with a passion for AI and machine learning.
- Please note that Socure cannot provide sponsorship now or in the future for this opening.
- Socure is an equal opportunity employer and values diversity of all kinds at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
