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

Job Description

Job Title: Senior AI / Machine Learning Engineer

SPONSORSHIP NOT AVAILABLE- MUST BE US CITIZEN/ GREEN CARD HOLDER

LOCATION: Irvine, CA (onsite). Monday through Thursday onsite, Fridays remote.

COMPENSATION: $75-95 an hour. This is a 2-year contract that will convert to full-time.

About Us

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 , we’re seeking an exceptional AI/ML Engineer to help design and deliver production-grade machine learning models from the ground up.

Position Overview

As an AI/ML Engineer , you’ll play a pivotal role in shaping this high-priority AI initiative. You will design, build, and deploy models in collaboration with data scientists, engineers, and domain experts—helping to create solutions that will operate at scale across a global workforce

Responsibilities

Model Development
• Collaborate with data scientists to define objectives and requirements.
• Design, develop, and train ML 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 ML 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.

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

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