Senior MLOps Engineer - Scale ML Pipelines, Hybrid

Visual Lease; Sunnyvale (CA); Hybrid; USD 173,000 - 253,000; Full time

Benefits offered by this job

Comprehensive healthcare coverage

401(K) retirement plan with matching contributions

Tuition reimbursement

Paid time off

Job summary

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.

Qualifications

• 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.

Responsibilities

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

Skills

Python programming

Machine learning optimization

Deep learning concepts

Problem-solving skills

Communication skills

Education

Bachelor's degree in Computer Science or related field

Master's degree in Computer Science or related field

Tools

TensorFlow

PyTorch

AWS

Docker

Kubernetes

Job description

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.