Apply on Employer Site

INSPYR Solutions · 3 days ago

ML Engineer - MLOps/Infrastructure Focus

Cupertino, CA

Contract

Onsite

Senior Level

$64/hr - $77/hr

5+ years exp

INSPYR Solutions is a national expert in delivering flexible technology and talent solutions, and they are seeking a highly skilled ML Engineer with a focus on MLOps and infrastructure. The role involves designing and developing Big Data analytical applications, supporting data ingestion and model training workflows, and collaborating with teams to deploy and monitor ML models in production.

Information TechnologyProfessional ServicesStaffing Agency

H1B Sponsor Likely

Responsibilities

Support data ingestion, dataset management, model training, and inference workflows

Design and implement MLOps infrastructure for large language models (LLMs)

Develop and maintain scalable ML systems and pipelines

Collaborate with cross-functional teams to deploy and monitor ML models in production

Qualification

PythonMachine LearningMLOps infrastructureAWSKubernetesRayApache SparkScalaJavaCI/CDModel versioningExperiment tracking

Required

Expert in Python (5+ years of experience) with proven experience building and maintaining data ingestion pipelines

Hands-on Machine Learning experience using LLMs and generative AI experience developing ML infrastructure and pipelines

Must have experience with Ray (preferred) or similar distributed ML frameworks

Experience with AWS cloud services infrastructure and strong Kubernetes expertise

Preferred

Familiarity with Apache Spark

Proficiency in Scala or Java

Experience with other Big Data processing technologies

CI/CD experience for ML workflows

Experience with model versioning and experiment tracking tools

Company

INSPYR Solutions

INSPYR Solutions is a information technology staffing service providers.

Fort Lauderdale, Florida, USA

501-1000 employees

https://inspyrsolutions.com

H1B Sponsorship

INSPYR Solutions has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Represents job field similar to this job

Trends of Total Sponsorships

2025 (54)

2024 (11)

2023 (2)