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Urgent! Azure AI Developer - LLM/MLOps Job Opening In India, India – Now Hiring Papigen
<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)
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Unlock Your Azure AI Potential: Insight & Career Growth Guide
Real-time Azure AI Jobs Trends in India, India (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Azure AI in India, India using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 128001 jobs in India and 7990 jobs in India. This comprehensive analysis highlights market share and opportunities for professionals in Azure AI roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Papigen is currently hiring and seeking a Azure AI Developer LLM/MLOps to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Azure AI Developer LLM/MLOps Jobs India.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Papigen adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Azure AI Developer LLM/MLOps Jobs India varies, but the pay scale is rated "Standard" in India. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Azure AI Developer LLM/MLOps typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
To improve your chances of getting hired for Azure AI Developer LLM/MLOps, consider enhancing your skills. Check your CV/Résumé Score with our free Resume Scoring Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.
Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Azure AI Developer LLM/MLOps interview at Papigen, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Papigen's products or services and be prepared to discuss how you can contribute to their success.
By following these tips, you can increase your chances of making a positive impression and landing the job!
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