Machine Learning Engineer

Job Category: Technology and IT
Job Type: Remote
Job Location: United States

Overview
Join Irvine Technology Corporation (ITC) as a Machine Learning Engineer and take your career to the next level! As a Machine Learning Engineer, you will design, build, and maintain advanced machine learning models while collaborating with data scientists, engineers, and clinical teams. This role focuses on deploying AI solutions that enhance patient care, improve operational efficiency, and support clinical research, all while working remotely.

Salary: $160,000–$180,000 per year
Location: Remote
Seniority Level: Mid-Senior
Employment Type: Full-time


Responsibilities

Production Deployment & Model Engineering
Deploy and maintain production-grade ML models that are reliable, scalable, and capable of real-time inference. Ensure engineering best practices for long-term model performance and stability.

Scalable ML Infrastructures
Develop end-to-end scalable ML infrastructures using cloud platforms like AWS, Google Cloud, or Azure. Ensure these systems efficiently support AI solutions across the organization.

AI Pipeline Development
Build AI pipelines for data ingestion, preprocessing, search, and retrieval. Collaborate closely with data engineers and analytics teams to ensure Machine Learning Engineer solutions meet both technical and business requirements.

Collaboration & CI/CD Pipelines
Work with DevOps, data scientists, and analytics teams to design CI/CD pipelines that automate testing and deployment. Continuously improve ML models to support operational excellence.


Qualifications

  • Proven experience managing end-to-end ML lifecycle

  • Expertise in Terraform automation

  • Proficiency in Docker and Kubernetes for containerization

  • Skilled in CI/CD tools such as GitHub Actions

  • Programming experience with Python, R, and SQL

  • Strong knowledge of coding, architecture, and deployment processes

  • Experience with predictive modeling, LLMs, NLP, and RAG frameworks


Education & Background

  • Bachelor’s degree in Computer Science, Artificial Intelligence, Informatics, or a related field

  • Master’s degree preferred in Computer Science, Engineering, or closely related field


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