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 delivering
automation
,
AI-enabled document intelligence
, and
reporting/analytics enhancements
to improve
efficiency, accuracy, and business decision-making
.Key Responsibilities
- Collaborate 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 for summarization, 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 with Azure ML endpoints, containers, and serverless (Azure Functions) for real-time AI workflows.
- Develop event-driven AI solutions leveraging Azure Functions and Cognitive Services.
- Write clean, efficient Python code using NumPy, Pandas, Scikit-learn, PyTorch, XGBoost, 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 specs, test cases, and results in line with 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 processing.
- Model development, evaluation, and hyperparameter tuning.
- Azure Functions & Serverless AI workflows.
- Strong SQL/NoSQL and data lake integration experience.
- Proficiency with Azure DevOps, Git, and automated deployment pipelines.
- 5–7 years of relevant experience in AI/ML development and deployment.
Skills: azure ml,bert,azure functions,gpt,models,azure,llm,scikit-learn,pytorch,ml,azure mlops,mlflow,xgboost,artificial intelligence,prompt engineering,python,large language models
