
Machine Learning Engineer for Document Intelligence
2 days ago
About Our Company:
We're a leading provider of innovative solutions at the intersection of computer vision and machine learning.
Job Overview
We're seeking a highly skilled Machine Learning Engineer to join our team, working on projects that involve document layout analysis, object detection, and OCR enhancement. The ideal candidate will have hands-on experience in AI/ML, preferably in document intelligence or vision-based systems.
The Successful Candidate
The successful candidate will have:
- A bachelor's degree in Computer Science, Engineering, or related field
- 2–5 years of hands-on experience in AI/ML, preferably in document intelligence or vision-based systems
- Strong Python skills with frameworks like TensorFlow, PyTorch, OpenCV
- Proven experience in OCR, NLP, and automating document workflows
- Experience with LLMs and prompt engineering or fine-tuning
Benefits
- Opportunities to work on cutting-edge projects
- Professional growth and development opportunities
- A collaborative and dynamic work environment
Responsibilities
The responsibilities of this role include:
- Designing and developing machine learning models for document layout analysis, object detection, and OCR enhancement
- Automating data extraction from complex PDF documents (invoices, contracts, forms)
- Working with LLMs (e.g., GPT, LLaMA) for summarization, Q&A, and document intelligence tasks
- Integrating AI pipelines with tools like Tesseract, Azure Form Recognizer, PDFMiner, PaddleOCR, etc.
- Deploying and managing ML solutions using Azure cloud services
- Collaborating using GitHub (version control), Jira (Agile task tracking), and CI/CD workflows
How to Apply
Apply now if you're passionate about building intelligent systems that extract insights from documents and unstructured data. We look forward to hearing from you
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