Data-Core Systems Inc.
Machine Learning Engineer with OCR
Data-Core Systems Inc., Middletown, New Jersey, United States
Overview
Data-Core Systems, Inc. is seeking a Machine Learning Engineer with OCR to be a part of our Consulting team. You will participate and contribute to the design, development, and implementation of complex applications, often using new technologies. You will provide technical expertise and systems design for individual initiatives. You will have an opportunity to work with other SME consultants from our existing team. Key Responsibilities
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. Required Skills & Qualifications
Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, or a related field. 4+ years of experience as a Machine Learning Engineer, NLP Engineer, or AI Specialist. Strong expertise with OpenAI APIs, GPT models, LangChain, or similar LLM frameworks. Hands-on experience with OCR tools (Tesseract, EasyOCR, PaddleOCR, AWS Textract, Google Cloud Vision, or Azure OCR). Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or Hugging Face Transformers. Experience building and deploying ML solutions in cloud environments (AWS, Azure, GCP). We are an equal opportunity employer.
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Data-Core Systems, Inc. is seeking a Machine Learning Engineer with OCR to be a part of our Consulting team. You will participate and contribute to the design, development, and implementation of complex applications, often using new technologies. You will provide technical expertise and systems design for individual initiatives. You will have an opportunity to work with other SME consultants from our existing team. Key Responsibilities
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. Required Skills & Qualifications
Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, or a related field. 4+ years of experience as a Machine Learning Engineer, NLP Engineer, or AI Specialist. Strong expertise with OpenAI APIs, GPT models, LangChain, or similar LLM frameworks. Hands-on experience with OCR tools (Tesseract, EasyOCR, PaddleOCR, AWS Textract, Google Cloud Vision, or Azure OCR). Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or Hugging Face Transformers. Experience building and deploying ML solutions in cloud environments (AWS, Azure, GCP). We are an equal opportunity employer.
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