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.