Job Overview:
Pay Range: $65hr - $70hr
Requirement/Must Have:
- 10+ years of experience.
- GCP cloud experience is mandatory.
- Strong foundation in ML inference, deployment, and quality testing.
- Demonstrated ability to ramp up quickly on new and unfamiliar tech stacks.
- End-to-end problem-solving mindset.
- Core ML knowledge sufficient to benchmark models and collaborate with researchers.
- Experience deploying models in cloud environments, ideally GCP.
Responsibilities:
- 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.
- 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.
- Partner with ML researchers to provide benchmarking feedback and guide inference decisions.
- Adapt rapidly to non-standard and evolving tech stacks across hybrid (on-prem + GCP) infrastructure.
Nice to Have:
- Exposure to Java or JVM-based systems.
- Familiarity with streaming data architectures.
- Experience in hybrid cloud/on-prem environments.
Skills:
- Machine Learning frameworks: TensorFlow, PyTorch, JAX or similar.
- Primary platform: Google Cloud Platform (inference, deployment automation, experimentation, sampling).
- Production integration: Java-based streaming pipelines.
- Infrastructure: Hybrid — on-premise streaming + GCP serving stacks.
- Distributed systems: Working knowledge required for debugging and end-to-end testing.
Qualification And Education:
- Bachelor's or Master’s degree in Computer Science, Computer or Electrical Engineering, Mathematics, or a related field.
Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading staffing and recruiting powerhouse. Proudly recognized as a nationally and locally certified diversity firm, Cynet delivers agile, scalable talent solutions across industries. With an active footprint in all 50 U.S. states and Canada, we support thousands of consultants through our expansive, high-performing recruitment engine operating across North America and Asia—ensuring speed, quality, and consistency in every hire.