AI/ML Architect

Company: Celebal TechnologiesJob Type: Contract (6+ Months)Location: Diamond Bar, California, USAWork Mode: 100% Onsite – 5 Days a Week (No Hybrid or Remote)Job SummaryCelebal Technologies is looking for an experienced Senior AI/ML Engineer with strong expertise in Computer Vision, Artificial Intelligence/Machine Learning, Azure, and Databricks. The ideal candidate will be responsible for designing, developing, optimizing, and deploying scalable AI/ML solutions to address complex business challenges.The candidate should have hands-on experience building computer vision models and implementing machine learning workflows using Azure cloud services and Databricks.Key Responsibilities• Design, develop, train, and deploy AI/ML models for computer vision applications.• Build and optimize image processing, image classification, object detection, and image segmentation solutions.• Develop scalable machine learning pipelines using Python and relevant AI/ML frameworks.• Leverage Azure services and Databricks for data processing, model development, training, and deployment.• Work with large datasets to perform data preprocessing, feature engineering, model evaluation, and performance optimization.• Implement model monitoring, versioning, and deployment workflows following MLOps best practices.• Collaborate with data engineers, cloud engineers, and business stakeholders to deliver production-ready AI/ML solutions.• Troubleshoot model performance issues and continuously improve accuracy, scalability, and reliability.• Ensure compliance with applicable data security and governance standards.Required Skills and Qualifications• Strong professional experience as an AI/ML Engineer or in a similar role.• Hands-on experience in Computer Vision, including object detection, image classification, image segmentation, and image processing.• Strong programming skills in Python.• Experience with AI/ML and deep learning frameworks such as PyTorch, TensorFlow, or OpenCV.• Hands-on experience with Azure cloud services for AI/ML development and deployment.• Strong experience with Databricks, including data processing and machine learning workflows.• Knowledge of machine learning algorithms, deep learning architectures, model evaluation, and optimization.• Experience deploying and maintaining machine learning models in production environments.• Strong analytical, problem-solving, and communication skills.Preferred Qualifications• Experience with Azure Machine Learning and MLflow.• Familiarity with MLOps, CI/CD pipelines, model monitoring, and automated deployment.• Experience working with large-scale image datasets and GPU-based model training.• Knowledge of cloud-based data engineering and distributed processing.