Senior MLOps Engineer - Scale ML Pipelines, Hybrid

CoStar Group

Sunnyvale (CA)

Hybrid

USD 173.000 - 253.000

Vollzeit

14 Tage+

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Benefits dieser Stelle

Comprehensive healthcare coverage
401(K) retirement plan with matching contributions
Tuition reimbursement
Paid time off

Zusammenfassung

Visual Lease is seeking a Senior ML Ops Engineer to enhance the performance and scalability of machine learning models. You'll analyze models, optimize them, and collaborate with different teams to ensure smooth integration into our platform.

Applicants should possess a Bachelor's degree in a related field and have significant experience in ML engineering and optimization.

This position is based in Sunnyvale, CA, offering a competitive salary ranging from $173,000 to $253,000, along with generous benefits.

Qualifikationen

  • 3+ years of experience in machine learning engineering, focusing on model optimization.
  • Experience with machine learning frameworks and optimization libraries.
  • Strong analytical skills regarding model performance and accuracy.

Aufgaben

  • Analyze and optimize machine learning models for performance improvement.
  • Develop CI/CD pipelines for optimized models.
  • Stay updated with trends in ML model optimization.

Kenntnisse

Python programming
Machine learning optimization
Deep learning concepts
Problem-solving skills
Communication skills

Ausbildung

Bachelor's degree in Computer Science or related field
Master's degree in Computer Science or related field

Tools

TensorFlow
PyTorch
AWS
Docker
Kubernetes

Jobbeschreibung

Visual Lease is seeking a Senior ML Ops Engineer to enhance the performance and scalability of machine learning models. You'll analyze models, optimize them, and collaborate with different teams to ensure smooth integration into our platform.

Applicants should possess a Bachelor's degree in a related field and have significant experience in ML engineering and optimization.

This position is based in Sunnyvale, CA, offering a competitive salary ranging from $173,000 to $253,000, along with generous benefits.

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