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Urgent! Azure AI Developer - LLM/MLOps Job Opening In India, India – Now Hiring Papigen

Azure AI Developer LLM/MLOps



Job description

<p>About Company : <br/><br/>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.<br/><br/>Job Overview : <br/><br/>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.<br/><br/>Key Responsibilities : <br/><br/>- Work with business and technical teams to translate requirements into scalable AI/ML solutions.<br/><br/>- Design, develop, test, and deploy applications aligned with enterprise architecture frameworks.<br/><br/>- Develop and fine-tune Large Language Models (LLMs) and apply prompt engineering techniques for tasks such as summarization, text classification, and document understanding.<br/><br/>- Implement Azure AI Document Intelligence for extracting structured data from invoices, forms, and contracts.<br/><br/>- Build, optimize, and monitor ML models and pipelines using Azure ML, MLflow, and MLOps practices.<br/><br/>- Deploy models using Azure ML endpoints, containers, or serverless (Azure Functions) for real-time AI workflows.<br/><br/>- Develop and manage event-driven AI solutions leveraging Azure Functions and cognitive services.<br/><br/>- Write clean, efficient, and optimized code in Python (with libraries such as NumPy, Pandas, Scikit-learn, Matplotlib).<br/><br/>- Integrate AI workflows with databases and data lakes (SQL/NoSQL).<br/><br/>- Use Azure DevOps & Git for version control, CI/CD, and workflow automation.<br/><br/>- Document user stories, technical specifications, test cases, and results as part of Agile delivery.<br/><br/>Required Skills & Experience : <br/><br/>- Large Language Models (LLMs) & Prompt Engineering (GPT, BERT, etc.)<br/><br/>- Azure AI & MLOps (Azure ML, MLflow, CI/CD pipelines)<br/><br/>- Python (NumPy, Pandas, Scikit-learn, PyTorch, XGBoost)<br/><br/>- Azure Document Intelligence for document processin<br/><br/>- Model development, evaluation, and hyperparameter tunin<br/><br/>- Azure Functions & Serverless AI workflow<br/><br/>- Strong SQL / NoSQL and data lake integration experienc<br/><br/>- Experience with Azure DevOps, Git, and automated deployment pipelines<br/><br/>- 5-7 years of relevant experience in AI/ML development and deployment</p> (ref:hirist.tech)


Required Skill Profession

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