Machine Learning Engineer (Generative AI & Document Intelligence)

We are seeking a highly skilled and detail-oriented Machine Learning Engineer to lead the development and deployment of intelligent automation solutions across document processing, email workflows, and AI-driven applications. This role focuses on building scalable systems using deep learning, computer vision, and generative AI to improve efficiency, accuracy, and user experience.

The ideal candidate has strong experience in machine learning, NLP, and document AI, with the ability to design end-to-end solutions and translate business requirements into impactful AI products. This role works closely with cross-functional teams to deliver production-ready systems aligned with organizational goals.

Key Roles & Responsibilities

Develop, deploy, and optimize machine learning and generative AI solutions for document processing, automation, and business workflows

Design end-to-end systems to extract structured data from unstructured sources such as PDFs, images, and emails

Build and implement deep learning models for classification, detection, document understanding, and information retrieval

Develop AI-powered chatbots and assistants to enable intelligent automation (e.g., Excel-based order workflows and business process automation)

Engineer intelligent email processing pipelines using AI for classification, routing, and data extraction

Create generative AI and multimodal document understanding systems for complex document analysis

Implement detection-based and CNN-based models for document structure recognition (e.g., layout analysis, page continuation)

Design hybrid solutions combining rule-based logic and machine learning for document classification and processing

Develop high-performance, scalable, and multi-threaded OCR and document processing applications

Integrate AI models into automation platforms, APIs, and web applications for seamless user experiences

Optimize model performance, scalability, and inference efficiency in production environments

Collaborate with cross-functional teams and stakeholders to translate business requirements into AI-driven solutions

Monitor system performance, analyze real-world data, and continuously improve model accuracy and reliability

Required Qualifications

3+ years of experience in machine learning, deep learning, or AI engineering

Strong proficiency in Python and experience with C#

Hands-on experience with ML frameworks such as TensorFlow and PyTorch

Experience with NLP tools like spaCy and NLTK

Strong understanding of computer vision using OpenCV

Experience working with large language models (LLMs) and generative AI systems

Familiarity with cloud platforms such as Google Cloud Platform and Microsoft Azure

Strong problem-solving and analytical skills

Skills

Programming & ML: Python, C#, TensorFlow, PyTorch, Keras, Scikit-learn, Transformers

AI & Data: NLP (spaCy, NLTK, LLMs), Computer Vision (OpenCV, VLLMs), Pandas, NumPy, SQL

Cloud & Tools: Google Cloud Platform, Microsoft Azure, Vertex AI, JIRA, n8n

Document AI: OCR (Tesseract OCR, ABBYY), PDF processing (PyMuPDF, PyPDF2)

Core Strengths: Product mindset, problem-solving, attention to detail, collaboration, adaptability, and results-driven execution

Compensation is flexible and aligned with experience and expertise.

Interested candidates can share their resume and project portfolio to hr@qcverify.com