Senior Machine Learning/ AI Engineer- (Hybrid- Greenfield Opportunity))

Match Made Tech10 months ago
Los Angeles, CA, United States
Hybrid
Contract
Junior Level (1-3 years)

Job Description

Position Overview

Job Title: Senior AI / Machine Learning Engineer
Sponsorship: NOT AVAILABLE – MUST BE US CITIZEN/ GREEN CARD HOLDER
Location: Irvine, CA (onsite Monday through Thursday, remote Fridays)
Compensation: $75-95 an hour (2-year contract with conversion to full-time)

We are on a mission to develop innovative AI solutions that will revolutionize the way workforces operate. As we embark on a new greenfield AI project, you will play a pivotal role in shaping this high-priority initiative by designing, building, and deploying production-grade machine learning models from the ground up in collaboration with data scientists, engineers, and domain experts.

Key Responsibilities

  • Model Development
    • Collaborate with data scientists to define objectives and requirements.
    • Design, develop, and train machine learning models using state-of-the-art techniques.
  • Data Preparation
    • Work with large datasets, ensuring quality through preprocessing and transformation.
    • Implement pipelines and augmentation methods to support training.
  • Deployment & Optimization
    • Deploy machine learning models into production with a focus on scalability and performance.
    • Conduct experiments, fine-tune algorithms, and optimize hyperparameters.
    • Implement monitoring and ongoing maintenance of models.
  • Collaboration & Documentation
    • Work cross-functionally with engineers, scientists, and domain experts.
    • Document processes, best practices, and share insights with the team.

Required Qualifications

  • Bachelor’s or Master’s in Computer Science, Machine Learning, or a related field.
  • 3+ years of proven experience developing and deploying machine learning models.
  • Strong programming skills in Python.
  • Proficiency in TensorFlow, PyTorch, or scikit-learn.
  • Experience with data preprocessing, pipelines, and feature engineering.
  • Familiarity with AWS and containerization technologies (Docker, Kubernetes).
  • Strong problem-solving and analytical mindset.
  • Excellent communication and collaboration skills.
  • Experience with LLM's.

Benefits & Perks

  • Greenfield opportunity – build from the ground up with no legacy systems.
  • Opportunity to impact solutions at a global scale.
  • Work alongside a talented, diverse team in a fast-paced environment.
  • Competitive pay with a clear path to full-time conversion.
  • Professional growth and advancement opportunities.

Required Skills

LLM
TensorFlow
Artificial Intelligence
Model Deployment
scikit-learn
Collaboration
Machine Learning
PyTorch
Kubernetes
Python
Docker
Data Preprocessing
Feature Engineering
AWS