INFOPARK

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 Responsibilities
• Develop and deploy machine learning and generative AI solutions for document processing and automation
• Build systems to extract structured data from unstructured sources such as PDFs, images, and emails
• Design and implement deep learning models for classification, detection, and information retrieval
• Create intelligent workflows integrating AI models with automation platforms and web applications
• Develop AI-powered chatbots and assistants for business process automation
• Optimize model performance, scalability, and inference efficiency
• Collaborate with stakeholders to align AI solutions with business objectives
• Monitor system performance and continuously improve models based on real-world data
Core Contributions
• Built an AI chatbot for Excel-based order automation, enabling dynamic user-defined workflows
• Engineered intelligent email processing pipelines with AI-based classification and data extraction
• Developed generative AI-based document understanding systems using multimodal models
• Implemented detection-based document extraction using deep learning architectures
• Designed rule-based and ML-based document classification systems
• Built CNN-based models for document structure understanding (e.g., page continuation)
• Developed high-performance multi-threaded OCR applications

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