Job Title : AI / ML Engineer - Greenfield AI Project
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 our workforce. As we embark on an exciting new greenfield AI project, we are seeking an exceptional AI / ML Engineer to join our team and lead the development of machine learning models as part of this groundbreaking initiative.
JOB DESCRIPTION : About the Role
We are seeking a skilled AI / ML Engineer to join our team to design, develop, and deploy machine learning models that solve real-world business challenges. You will work cross-functionally with data scientists, engineers, and product teams to bring cutting-edge AI solutions to production, with a strong focus on NLP, supervised learning, experimentation, and optimization.
Key Responsibilities
- Model Development & Training
Collaborate with data scientists and stakeholders to translate project goals into scalable ML solutions.
Design, develop, and train models using state-of-the-art machine learning techniques and tools.Select appropriate annotated datasets and transform raw data into machine learning-ready formats.Data Preparation & Feature EngineeringAnalyze and process structured / unstructured data for training and evaluation.
Develop feature extraction and selection pipelines to improve model performance.Experimentation & OptimizationRun controlled experiments and perform statistical analysis to validate models.
Refine model hyperparameters and evaluation metrics for optimal performance.Deployment & IntegrationWork closely with ML Ops to deploy and monitor models in production environments.
Ensure all models are integrated seamlessly into existing systems.Collaboration & Code QualityParticipate in code reviews, pair programming, and knowledge-sharing sessions.
Write testable, production-quality code that aligns with engineering best practices.Qualifications & Skills
3-5 years as an ML / AI Engineer or 1-3 years in an ML / AI leadership roleProven experience building and deploying machine learning models in productionSolid understanding of classical ML algorithms (classification, regression, clustering)Experience working with changing datasets and real-time data pipelinesHands-on experience with Python and frameworks like PyTorch, TensorFlow, Scikit-learnStrong knowledge of data processing (ETL), feature engineering, and statistical evaluationSolid understanding of REST APIs, CI / CD, and containerized deployments (Docker, Kubernetes)Strong communication, analytical thinking, and problem-solving skillsBachelor's degree in Computer Science, Mathematics, Engineering, or a related quantitative fieldPreferred Qualifications (Nice-to-Have)
Master's or PhD degree in Computer Science, Engineering, or a related fieldExperience with neural networks and deep learning applications in computer vision, time-series analysis, or reinforcement learningFamiliarity with MLOps tools (MLflow, Kubeflow, SageMaker, etc.)Exposure to cloud platforms (AWS, GCP, Azure)Familiarity with version control and experimentation tracking toolsBasic knowledge of data governance, security, and compliance standards