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Immediate Hire : Senior ML Platform Engineer : San Jose CA : Hybrid at San Jose, California, USA
Email: [email protected]
Hi,

We have a
Senior ML Platform Engineer opportunity available. Please find the details below:

Position Details:

Title: Senior ML Platform Engineer (Serving Infrastructure)

Location: San Jose CA

Experience Required: 7+ years of software engineering experience, with 3+ years in ML serving/infrastructure

Key Responsibilities:

Design and implement
scalable model serving platforms for both batch and real-time inference.

Build
model deployment pipelines with automated testing and validation.

Develop
monitoring, logging, and alerting systems for ML services.

Implement
model versioning and rollback capabilities.

Create infrastructure for
A/B testing and model experimentation.

Collaborate with
data scientists to optimize model serving performance.

Technical Requirements:

Expertise in
container orchestration (Kubernetes) and cloud platforms.

Experience with
model serving technologies like TensorFlow Serving, Triton, and KServe.

Proficiency in
Python and experience with high-performance serving.

Strong knowledge of
distributed systems and microservices architecture.

Experience with
CI/CD pipelines and GitOps workflows.

Nice to Have:

Experience with model serving frameworks such as
TorchServe, TensorFlow Serving, Triton Inference Server, and
BentoML.

Expertise in
model runtime optimizations (quantization, pruning, compression, etc.).

Experience with
GPU infrastructure management and low-latency serving architectures.

Familiarity with
ML-specific security requirements and performance profiling.

If you're interested, please send your updated resume. Looking forward
to hearing from you!

Thanks,

Aditya Jain  |  New York Technology Partners

[email protected]

linkedin.com/in/aditya-jain-india

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Keywords: continuous integration continuous deployment machine learning information technology California
Immediate Hire : Senior ML Platform Engineer : San Jose CA : Hybrid
[email protected]
[email protected]
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12:06 AM 08-Mar-25


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Location: San Jose, California