AI/ML Architect

Company: Celebal Technologies Job Type: Contract (6+ Months) Location: Diamond Bar, California, USA Work Mode: 100% Onsite – 5 Days a Week (No Hybrid or Remote)

Job Summary Celebal 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.