About Company :
Papigen is a fast-growing global technology services company, delivering innovative digital solutions through deep industry experience and cutting-edge expertise. We specialize in technology transformation, enterprise modernization, and dynamic areas like Cloud, Big Data, Java, React, DevOps, and more. Our client-centric approach combines consulting, engineering, and data science to help businesses evolve and scale efficiently.
Job Overview :
We are seeking an experienced AI Developer to design, build, and deploy AI / ML-driven solutions leveraging Azure cloud services, Large Language Models (LLMs), and MLOps best practices. The role involves working on automation, AI-enabled document intelligence, and reporting / analytics enhancements to improve efficiency, accuracy, and business decision-making.
Key Responsibilities :
- Work with business and technical teams to translate requirements into scalable AI / ML solutions.
- Design, develop, test, and deploy applications aligned with enterprise architecture frameworks.
- Develop and fine-tune Large Language Models (LLMs) and apply prompt engineering techniques for tasks such as summarization, text classification, and document understanding.
- Implement Azure AI Document Intelligence for extracting structured data from invoices, forms, and contracts.
- Build, optimize, and monitor ML models and pipelines using Azure ML, MLflow, and MLOps practices.
- Deploy models using Azure ML endpoints, containers, or serverless (Azure Functions) for real-time AI workflows.
- Develop and manage event-driven AI solutions leveraging Azure Functions and cognitive services.
- Write clean, efficient, and optimized code in Python (with libraries such as NumPy, Pandas, Scikit-learn, Matplotlib).
- Integrate AI workflows with databases and data lakes (SQL / NoSQL).
- Use Azure DevOps & Git for version control, CI / CD, and workflow automation.
- Document user stories, technical specifications, test cases, and results as part of Agile delivery.
Required Skills & Experience :
Large Language Models (LLMs) & Prompt Engineering (GPT, BERT, etc.)Azure AI & MLOps (Azure ML, MLflow, CI / CD pipelines)Python (NumPy, Pandas, Scikit-learn, PyTorch, XGBoost)Azure Document Intelligence for document processinModel development, evaluation, and hyperparameter tuninAzure Functions & Serverless AI workflowStrong SQL / NoSQL and data lake integration experiencExperience with Azure DevOps, Git, and automated deployment pipelines5-7 years of relevant experience in AI / ML development and deployment(ref : hirist.tech)