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 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.
Example 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-effective, 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 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
📌 Software Development Engineer III (Kolkata)
🏢 Jumio
📍 Kolkata
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