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Grid Dynamics · 11 hours ago

Senior MLOps Engineer

United States

Full-time

Remote

Senior Level

5+ years exp

Grid Dynamics is a digital-native technology services provider that accelerates growth and bolsters competitive advantage for Fortune 1000 companies. They are seeking a Senior MLOps Engineer responsible for maintaining product and industry knowledge while designing and implementing GPU optimization strategies, developing distributed training pipelines, and managing ML infrastructure across multi-cloud environments.

Big DataCloud ComputingMobile AppsOutsourcingSoftware Engineering

No H1B

Responsibilities

Design and implement GPU optimization strategies to maximize utilization and reduce latency for ML workloads

Develop and maintain distributed training pipelines using Ray framework for large-scale model development

Manage and optimize ML infrastructure across multi-cloud environments focusing on cost-efficiency and scalability

Build monitoring and profiling tools for GPU performance analysis and resource allocation optimization

Collaborate with data scientists and ML engineers to streamline model training, inference, and deployment processes

Implement best practices for workload orchestration, fault tolerance, and auto-scaling in cloud environments

Stay current with GPU architectures, ML frameworks, and cloud technologies to drive continuous infrastructure improvements

Qualification

ML infrastructure experienceGPU optimizationRay frameworkAWS/EKSCUDA programmingDeep learning frameworksKubernetesTerraformAnalytical skillsProblem-solving skillsCollaboration skills