SDE III - MLOps

2 Hours ago • 5 Years +

Job Summary

Job Description

As an SDE III in the MLOps Team at Jumio, you will develop the blueprint for highly scalable and performant ML model serving. You will design and implement robust ML infrastructure for model deployment, serving, and optimization. Your responsibilities will include building and optimizing model serving infrastructure, architecting efficient inference pipelines, developing monitoring and observability solutions, and collaborating with ML Engineers to establish best practices. You will also contribute to architectural decisions for distributed ML systems.
Must have:
  • 5+ years of software engineering experience with Python.
  • Experience with ML frameworks, particularly PyTorch.
  • Experience optimizing ML models with hardware acceleration.
  • Experience with AWS ML services and hardware-accelerated instances.
  • Proven experience building and operating AWS serverless architectures.
  • Deep understanding of event-driven processing patterns.
  • Experience with containerization using Docker and orchestration tools.
  • Strong knowledge of RESTful API design and implementation.
  • Proficiency in writing good quality & secure code.
  • Excellent analytical, conceptual and communication skills in English.
  • Experience applying Computer Science fundamentals.
Good to have:
  • Experience with model compilation and quantization.
  • Experience working in regulated industries.
  • Experience with performance profiling and benchmarking ML inference systems.

Job Details

Role Purpose: 

At Jumio, you will work for one of the market leaders in the global identity verification space that is helping to make the digital world a safer place for everyone. As a Software Development Engineer in the MLOpsTeam, you will develop the blueprint for highly scalable and performant ML model serving.

 

Role Value: 

As a Software Engineer (SDE III), you will design and implement robust ML infrastructure for model deployment, serving, and optimization. You will work on efficient CI/CD pipelines for ML models and leverage advanced compilers or hardware optimization to maximize inference performance while optimizing costs. We welcome you to challenge us to impact our software development processes and tools.

Example Responsibilities:

 

  • 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
  • Develop monitoring and observability solutions for ML systems
  • Collaborate with ML Engineers to establish best practices for optimized model deployment
  • 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

 

Experience and Qualifications:

  • 5+ years of experience in software engineering with Python
  • Experience with ML frameworks, particularly PyTorch
  • Experience optimizing ML models with hardware acceleration (AWS Neuron , ONNX, TensorRT)
  • Experience with AWS ML services and hardware-accelerated instances (Sagemaker, Inferentia, Trainium)
  • 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

 

Great to have Experience and Qualifications: 

 

  • 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

 


@Work:
This role is based out of our Bangalore office at Prestige Tech Park III. You’ll be part of a dynamic, collaborative engineering team focused on innovation and technical excellence. Expect to work with passionate peers, modern tools, and a mission that matters

Jumio Values:

IDEAL: Integrity, Diversity, Empowerment, Accountability, Leading Innovation

Equal Opportunities:

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.

About Jumio:

Jumio is a B2B technology company dedicated to eradicating online identity fraud, money laundering and other financial crimes to help make the internet safer. We leverage AI, biometrics, machine learning, liveness detection and automation to create solutions that are trusted by leading brands worldwide and respected by industry thought leaders. 

Jumio is the leading provider of online identity verification, eKYC and AML solutions. With a global footprint, we’re expanding the team to meet strong client demand across a range of industries including Financial Services, Travel, Sharing Economy, Fintech, Gaming, and others.

Applicant Data Privacy

We will only use your personal information in connection with Jumio’s application, recruitment, and hiring processes, as described in Jumio’s Applicant Privacy Notice. If you have any questions or comments, please send an email to privacy@jumio.com.

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About The Company

Bengaluru, Karnataka, India (On-Site)

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