Machine Learning Engineer

• Participate and effectively contribute to the design, development, and implementation of complex applications, often using new technologies.
• Design, develop, and deploy machine learning and deep learning models, particularly leveraging OpenAI APIs.
• Implement OCR pipelines using tools such as Tesseract, Adobe, AWS Textract, Google Vision, or Azure Form Recognizer to extract structured information from unstructured documents.
• Integrate OCR outputs with NLP/LLM models to build intelligent document understanding and knowledge extraction systems.
• Optimize model performance, accuracy, and scalability through data preprocessing, feature engineering, and hyperparameter tuning.
• Develop end-to-end ML pipelines from data ingestion and training to deployment and monitoring.
• Collaborate with product managers, data scientists, and engineers to translate business requirements into AI solutions.
• Stay up to date with latest advancements in generative AI, computer vision, and OCR technologies and evaluate their potential business applications.
• Ensure compliance with data privacy, security, and responsible AI practices in all deployed systems.
• Provide technical expertise and systems design for individual initiatives and work with SME consultants.

Machine Learning Engineer, OCR

Job Level

Tech Stack

About the role

Requirements

Lead AI Engineer, Python

AI/ML Engineer

Principal Data Sciences

AI Engineer Intern

AI / Machine Learning Engineer