[Hiring] SDE III - MLOps @Jumio
SDE III - MLOps @Jumio
Artificial Intelligence
Salary unspecified
Remote Location
Employment Type full-time
Posted 1wk ago

[Hiring] SDE III - MLOps @Jumio

1wk ago - Jumio is hiring a remote SDE III - MLOps. πŸ’Έ Salary: unspecified πŸ“Location: India

Role Description

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 MLOps Team, you will develop the blueprint for highly scalable and performant ML model serving.

As a Software Engineer (SDE III), you will drive the continuous improvement of the infrastructure and applications to manage the lifecycle of ML assets (data, models) to better developer experience and strengthen governance capabilities. Secondly, 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.

Responsibilities

  • 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

Qualifications

  • 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

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

Key Characteristics and Attitudes

  • Friendly and supportive
  • Adaptable and flexible
  • Articulate and persuasive
  • High IQ and EQ
  • Curious and coachable
  • Commercially Aware
  • Resilient and tenacious
  • Big picture and the detail

Jumio Values

  • 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.

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 [email protected].

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SDE III - MLOps @Jumio
Artificial Intelligence
Salary unspecified
Remote Location
Employment Type full-time
Posted 1wk ago
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