Software Development Engineer III - MLOps
Core
Design and implement robust ML infrastructure for model deployment, serving, and optimization, focusing on inference latency, throughput, and cost efficiency.
Role type
Senior IC MLOps Engineer
Builds
Scalable ML model serving infrastructure, efficient CI/CD pipelines, and enterprise-scale inference systems
Domain
Identity verification, financial crime prevention, cloud-native ML infrastructure
Deliverable
production ML models
Required skills
Python, PyTorch, AWS serverless architectures, Docker, container orchestration, RESTful API design, static code analysis, event-driven processing patterns (SQS/SNS), hardware acceleration (AWS Neuron, ONNX, TensorRT), ML lifecycle management (MLFlow, Weights & Biases), data management ecosystems
Preferred skills
Model compilation and quantization, performance profiling and benchmarking ML inference systems, experience in regulated industries with strict compliance requirements
Technologies
AWS, Python, PyTorch, MLFlow, Weights & Biases, Docker, ONNX, TensorRT, AWS Neuron, SQS, SNS
Responsibilities
Upgrade ML assets management systems for better developer experience and robust governance; 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; Implement cost-efficient, enterprise-scale solutions; Collaborate in a cross-functional, distributed team for continuous system improvement; Evaluate and implement new technologies and tools
Seniority
Senior, hands-on IC
