Sr ML Engineer with Google Cloud Platform Exp:10+yrs -Remote

Remote • Posted 3 hours ago • Updated 3 hours ago
Contract W2
12 Months
No Travel Required
Remote
$50 - $55/hr
Fitment

Dice Job Match Score™

👾 Reticulating splines...

Job Details

Skills

  • Technical Stack 10+ expereince Primary platform: Google Cloud Platform (inference
  • deployment automation
  • experimentation
  • sampling) Production integration: Java-based streaming pipelines (model integration layer) Infrastructure: Hybrid — on-premise streaming + GCP serving stacks Distributed systems: Working knowledge required for debugging and end-to-end testing (not deep expertise) Must-Have Strong foundation in ML inference
  • deployment
  • and quality testing Demonstrated ability to ramp up quickly on new and unfamiliar tech stacks — this is the single most important trait End-to-end problem-solving mindset — can own a problem from model handoff to user-facing behavior Core ML knowledge sufficient to benchmark models and collaborate with researchers Experience deploying models in cloud environments
  • ideally GCP Good to Have Exposure to Java or JVM-based systems (model integration happens in Java; deep expertise not required) Familiarity with streaming data architectures Experience in hybrid cloud/on-prem environments What You Will Do Inference & Deployment Evaluate and benchmark new ML inference frameworks to guide production decisions Deploy models to GCP and integrate them into production applications and Java-based streaming pipelines Own deployment automation end-to-end — from model handoff through live serving Monitor how models behave in production for real end-users Performance & Quality Design and execute benchmarking
  • performance testing
  • and quality testing on ML models Perform model sampling to support quality evaluation and researcher feedback loops Debug issues across the full stack — from inference layer down to streaming pipelines Cross-functional Collaboration Partner with ML researchers to provide benchmarking feedback and guide inference decisions — requires enough core ML knowledge to have a meaningful technical handshake Adapt rapidly to non-standard and evolving tech stacks across hybrid (on-prem + GCP) infrastructure

Summary

Sr ML Engineer with Google Cloud Platform
Remote 

Client Yahoo

Technical Stack
10+ expereince
Primary platform: Google Cloud Platform (inference, deployment automation, experimentation, sampling)
Production integration: Java-based streaming pipelines (model integration layer)
Infrastructure: Hybrid — on-premise streaming + Google Cloud Platform serving stacks
Distributed systems: Working knowledge required for debugging and end-to-end testing (not deep expertise)

Must-Have
Strong foundation in ML inference, deployment, and quality testing
Demonstrated ability to ramp up quickly on new and unfamiliar tech stacks — this is the single most important trait
End-to-end problem-solving mindset — can own a problem from model handoff to user-facing behavior
Core ML knowledge sufficient to benchmark models and collaborate with researchers
Experience deploying models in cloud environments, ideally Google Cloud Platform
Good to Have
Exposure to Java or JVM-based systems (model integration happens in Java; deep expertise not required)
Familiarity with streaming data architectures
Experience in hybrid cloud/on-prem environments

What You Will Do
Inference & Deployment
Evaluate and benchmark new ML inference frameworks to guide production decisions
Deploy models to Google Cloud Platform and integrate them into production applications and Java-based streaming pipelines
Own deployment automation end-to-end — from model handoff through live serving
Monitor how models behave in production for real end-users
Performance & Quality
Design and execute benchmarking, performance testing, and quality testing on ML models
Perform model sampling to support quality evaluation and researcher feedback loops
Debug issues across the full stack — from inference layer down to streaming pipelines
Cross-functional Collaboration
Partner with ML researchers to provide benchmarking feedback and guide inference decisions — requires enough core ML knowledge to have a meaningful technical handshake
Adapt rapidly to non-standard and evolving tech stacks across hybrid (on-prem + Google Cloud Platform) infrastructure

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91142794
  • Position Id: 8989400
  • Posted 3 hours ago

Company Info

About SSTech LLC

SSTech LLC specializes in IT consulting, focusing on understanding client needs and providing skilled professionals to meet those requirements. Whether it’s through project-based consulting, staff augmentation, or full-scale IT solutions, the firm likely works closely with clients to identify technology gaps and deliver the right talent and expertise.

SSTech LLC is a dynamic and rapidly growing IT staffing and consulting firm headquartered in Irving, TX. With years of experience in the industry, we specialize in delivering innovative technology solutions and augmenting our clients’ IT teams with top-tier professionals. We pride ourselves on our commitment to integrity, honesty, and excellence in service.

Founded on the core values of integrity, technological insight, and customer satisfaction, SSTech LLC has built a reputation for providing reliable, high-quality IT staffing solutions. Our team works closely with clients to understand their unique needs and ensure that the right talent is deployed at the right time, empowering businesses to achieve their technology goals.Whether you’re looking to expand your IT staff, implement a cutting-edge technology solution, or need specialized expertise for a critical project, SSTech LLC is your trusted partner in success

SSTech LLC provides premier IT staffing services designed to help businesses develop and deploy innovative IT solutions that reduce costs and enhance performance across large enterprises worldwide. Our primary focus is on building mission-critical business applications engineered for optimal performance, scalability, and reliability.

With a deep understanding of the complexities facing modern enterprises, SSTech LLC ensures that our IT solutions not only meet the current needs of our clients but are also flexible and scalable to adapt to future demands. We specialize in delivering high-performance systems that are built to scale predictably, while maintaining the highest levels of reliability, security, and efficiency.

Whether you’re looking to streamline operations, enhance productivity, or develop cutting-edge applications, SSTech LLC is your trusted partner for building technology solutions that power business success on a global scale.

We are driven by core value and we are confident that when you select us as your IT Business Solutions Partner, we help businesses to move forward , faster by combining deep industry experience and frictionless technology delivery. Businesses today require transformational change at a scale and speed that defies traditional ways of working. We spark change through our digital transformation hub that delivers deep digital engineering and industry expertise through client-specific and integrated agile scrum teams.The SSTech LLC team is focused on delivering customer satisfaction by providing world-class IT services to the dynamic and developing high-technology market

SSTech LLC is a dynamic and fast growing company with headquarters in Dallas, Texas, USA. Through close relationships with partners , SSTech LLC has an extended presence in India.

Contact the job poster
Balu Suddamalla

Balu Suddamalla

Sr Recruiter @ SSTech LLC
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