Telecommute Tensorflow Developer Jobs in New York

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.