Healthcare ML Infrastructure Engineer - Remote

Neurex AI Inc.

New Jersey

Hybrid

USD 100,000 - 140,000

Full time

14 days+
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Benefits offered by this job

High ownership and autonomy
Real impact in healthcare
Direct collaboration with founders and senior leadership

Job summary

Neurex AI Inc. is looking for engineers to build scalable ML infrastructure that powers healthcare AI at scale. This role involves designing systems to train, deploy, and monitor ML models in production healthcare environments.

The ideal candidate will have a strong foundation in ML systems, experience with model serving frameworks, and familiarity with cloud infrastructure. You will have the opportunity to impact healthcare directly while collaborating with senior leadership.

Qualifications

  • Strong foundation in ML systems and infrastructure.
  • Experience with model serving frameworks like TensorFlow Serving or Triton.
  • Comfortable with AWS, GCP, and Kubernetes.
  • Experience with data pipelines and distributed systems.
  • Familiarity with MLOps practices.
  • Excellent communication skills.

Responsibilities

  • Design and build scalable ML training and inference infrastructure.
  • Implement model serving systems for low-latency healthcare applications.
  • Build data pipelines for training and evaluation datasets.
  • Create monitoring and observability systems for ML models in production.
  • Optimize model performance for cost and latency requirements.
  • Work with research and product teams to deploy new models.

Skills

ML systems and infrastructure
Model serving frameworks (TensorFlow Serving, Triton)
Cloud infrastructure (AWS, GCP)
Kubernetes
Data pipelines and distributed systems
MLOps practices
Clear communication

Job description

Neurex AI Inc. is looking for engineers to build scalable ML infrastructure that powers healthcare AI at scale. This role involves designing systems to train, deploy, and monitor ML models in production healthcare environments.

The ideal candidate will have a strong foundation in ML systems, experience with model serving frameworks, and familiarity with cloud infrastructure. You will have the opportunity to impact healthcare directly while collaborating with senior leadership.

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