Senior Software Development Engineer – MLOps

Jumio Corporation

Software Development Engineer in MLOps at Jumio enhancing global identity verification solutions. Focusing on scalable ML infrastructure and optimizing model serving performance in remote setup.

Posted 7/16/2026full-timeRemote • 🇮🇳 IndiaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and optimizing machine learning model serving infrastructure, with a strong focus on cost optimization and performance. Proficient in Python, model lifecycle management, and AWS serverless architectures, while effectively collaborating in cross-functional teams.

Highest-signal resume keywords

Python Software EngineeringModel Lifecycle ManagementAWS Serverless ArchitecturesML Frameworks (PyTorch)Containerization (Docker)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Model Lifecycle Management (MLFlow, Weights & Biases)Data Management EcosystemML Model OptimizationEvent-Driven Processing PatternsRESTful API DesignStatic Code AnalysisAlgorithm DesignPerformance ProfilingModel Compilation and QuantizationComplexity Analysis

Soft Skills

Analytical SkillsConceptual SkillsCommunication Skills

Tools & Technologies

AWS NeuronONNXTensorRTDockerSQSSNS

Industry Keywords

Regulated IndustriesCloud-Native Solutions

Tech Stack

Tools & technologies

AWSCloudDockerPythonPyTorch

About the role

Key responsibilities & impact

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

What you’ll need

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
Experience with any of the following: model compilation and quantization, performance profiling and benchmarking ML inference systems
Experience working in regulated industries with strict compliance requirements for cloud-native solutions.

Benefits

Comp & perks

Jumio is a collaboration of people with different ideas, strengths, interests and cultures. We welcome applications and colleagues from all backgrounds and of all statuses.