SDE III – MLOps

November 21

Apply Now

Receive Emails with Similar Jobs

Jumio Corporation

WebsiteLinkedInAll Job Openings

Artificial Intelligence • Compliance • Security

Jumio Corporation is a global leader in AI-driven identity verification solutions that help businesses onboard new customers quickly while keeping fraudsters out. With a platform trusted by leading brands worldwide, Jumio processes over 1 billion transactions and supports more than 5,000 ID types across 200 countries and territories. It uses advanced AI and machine learning models to provide predictive fraud insights, ensuring compliance with AML requirements and enabling seamless user experiences. Jumio offers solutions in various industries like financial services, healthcare, gaming, and more, allowing businesses to prevent fraud and protect their reputation.

201 - 500 employees

Founded 2010

🤖 Artificial Intelligence

📋 Compliance

🔐 Security

📋 Description

• Upgrade ML assets (models, data) management systems for better developer experience and robust governance capabilities • Build and optimize model serving infrastructure with a focus on inference latency and cost optimization • Architect efficient inference pipelines that balance latency, throughput, and cost across various acceleration options • Implement cost-efficient, enterprise-scale solutions • Collaborate in a cross-functional, distributed team for continuous system improvement • Work with MLEs, QA Engineers, and DevOps Engineers • Evaluate and implement new technologies and tools • Contribute to architectural decisions for distributed ML systems

🎯 Requirements

• 5+ years of experience in software engineering with Python • Experience with model lifecycle management (MLFlow, Weights & Biases or equivalent) • Experience with data management ecosystem (quality, transformation, catalog) • Experience with ML frameworks, particularly PyTorch • Experience optimizing ML models with hardware acceleration (AWS Neuron, ONNX, TensorRT) • Proven experience building and operating AWS serverless architectures • Deep understanding of event-driven processing patterns, SQS/SNS and serverless caching solutions • Experience with containerization using Docker and orchestration tools • Strong knowledge of RESTful API design and implementation • Proficiency in writing good quality & secure code and be familiar with static code analysis tools • Excellent analytical, conceptual and communication skills in spoken and written English • Experience applying Computer Science fundamentals in algorithm design, problem solving, and complexity analysis.