Machine Learning Engineer

Irvine Technology Corporation (ITC); United States; Remote; USD 100,000 - 140,000; Full time

Job summary

A technology firm is seeking a Machine Learning Engineer for a 100% remote position. The role involves designing and maintaining machine learning models, developing scalable ML infrastructures, and collaborating with teams to optimize CI/CD pipelines. Candidates should have a relevant bachelor's degree, experience with the ML lifecycle, and familiarity with cloud platforms and containerization technologies.

Qualifications

• Bachelor's degree in computer science or related field is required.
• Experience with end-to-end ML lifecycle management.
• Proficient in containerization and orchestration technologies.

Responsibilities

• Design and maintain machine learning models in production.
• Develop scalable ML infrastructures on cloud platforms.
• Collaborate on optimizing CI/CD pipelines for ML solutions.

Skills

Machine Learning

Cloud Platforms (AWS, GCP, Azure)

CI/CD Pipelines

Terraform

Docker

Kubernetes

Predictive Modeling

NLP

Education

Bachelor's degree in a related field

Master's degree preferred

Job description

A company is looking for a Machine Learning Engineer for a 100% remote position.

Key Responsibilities

• Design, build, and maintain machine learning models for production deployment
• Develop scalable ML infrastructures using cloud platforms like AWS, GCP, or Azure
• Collaborate with cross-functional teams to implement and optimize CI/CD pipelines for machine learning solutions

Required Qualifications

• Bachelor's degree in computer science, artificial intelligence, informatics, or a closely related field
• Master's degree in computer science, engineering, or a closely related field is preferred
• Experience in managing end-to-end ML lifecycle and automation with Terraform
• Proficiency in containerization technologies (e.g., Docker) and orchestration platforms (e.g., Kubernetes)
• Strong understanding of predictive modeling, LLMs, and NLP