Paradigm Talent · 5 days ago
Senior MLOps Engineer ($400k TC | MLOps, ML Infra | AI)
Paradigm Talent is partnering with a leading AI group building large-scale infrastructure to train, deploy, and operate cutting-edge LLMs in production. As a Senior MLOps Engineer, you’ll design and scale the platforms, pipelines, and observability tooling that keep these models performant, reliable, and secure.
Responsibilities
Design and build ML platform components for training, inference, and continuous integration of models
Automate model deployment and orchestration across HPC and cloud environments
Develop pipelines for data ingestion, feature engineering, and evaluation using modern workflow tools
Implement observability and monitoring for model health, latency, and cost metrics
Collaborate with research and infrastructure teams to productionize state-of-the-art LLMs
Contribute to governance, versioning, and auditability across the entire ML lifecycle
Qualification
Required
4+ years of experience building or supporting production ML systems
Strong coding skills in Python or another object-oriented language
Deep understanding of training and serving workflows for large models
Hands-on experience with containerization and orchestration (Kubernetes, Argo, Ray, or similar)
Proficiency with cloud platforms (AWS, GCP, or Azure) and infrastructure-as-code tools
Familiarity with monitoring stacks (Grafana, Prometheus, OpenTelemetry) and experiment tracking tools
Comfort profiling and optimizing GPU/accelerator workloads for efficiency and scalability
Company
Paradigm Talent
At Paradigm Talent, we believe that true growth happens when businesses experience a paradigm shift.....a step change that redefines what's possible.
Funding
Current Stage
Early StageCompany data provided by crunchbase