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
Skills: azure,azure ml,azure mlops,large language models,llm,artificial intelligence,mlflow,azure functions,python,prompt engineering,gpt,bert,scikit-learn,pytorch,xgboost,models,ml
