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Posted May 28, 2026

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

Job Title: Senior AI / Machine Learning Engineer SPONSORSHIP NOT AVAILABLE- MUST BE US CITIZEN/ GREEN CARD HOLDER LOCATION: Irvine, CA (onsite). Monday throughThursday 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.