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 processin

- Model development, evaluation, and hyperparameter tunin

- Azure Functions & Serverless AI workflow

- Strong SQL / NoSQL and data lake integration experienc

- Experience with Azure DevOps, Git, and automated deployment pipelines

- 5-7 years of relevant experience in AI/ML development and deployment