Implement and optimize AI solutions for text generation, document summarization, and predictive analytics.
Leverage Prompt Engineering techniques to refine AI-generated responses for domain-specific applications.
Enhance search capabilities using Azure Cognitive Search for intelligent data retrieval and semantic indexing.
Utilize Azure Form Recognizer to automate document processing and structured data extraction.
Optimize model performance through hyperparameter tuning, transfer learning, and fine-tuning techniques.
Manage and process large-scale datasets using Azure Storage Containers for AI-driven applications.
Leverage Redis Cache to enhance AI model response time and optimize application performance.
Utilize Python for data preprocessing, feature engineering, and AI model development.
Develop AI-driven applications with Python and cloud-based APIs.
Deploy AI models and applications using Azure DevOps (CI/CD) pipelines for automated workflows.
Integrate AI solutions with cloud-based infrastructures leveraging Azure services and OpenAI APIs.
Ensure AI scalability and performance using containerized environments and cloud-native solutions.
Hands-on experience with Azure AI services (OpenAI, Cognitive Search, Form Recognizer).
Knowledge of LLMs, Prompt Engineering, and Responsible AI practices.
Familiarity with Redis Cache for optimizing AI inference times.
Experience with MLOps and CI/CD best practices using Azure DevOps.
Develop and fine-tune Generative AI models using Azure OpenAI (ChatGPT 3.5+), NLP, and Large Language Models (LLMs).
Implement and optimize AI solutions for text generation, document summarization, and predictive analytics.
Leverage Prompt Engineering techniques to refine AI-generated responses for domain-specific applications.
Enhance search capabilities using Azure Cognitive Search for intelligent data retrieval and semantic indexing.
Utilize Azure Form Recognizer to automate document processing and structured data extraction.
Optimize model performance through hyperparameter tuning, transfer learning, and fine-tuning techniques.
Manage and process large-scale datasets using Azure Storage Containers for AI-driven applications.
Leverage Redis Cache to enhance AI model response time and optimize application performance.
Utilize Python for data preprocessing, feature engineering, and AI model development.
Develop AI-driven applications with Python and cloud-based APIs.
Deploy AI models and applications using Azure DevOps (CI/CD) pipelines for automated workflows.
Integrate AI solutions with cloud-based infrastructures leveraging Azure services and OpenAI APIs.
Ensure AI scalability and performance using containerized environments and cloud-native solutions.
Hands-on experience with Azure AI services (OpenAI, Cognitive Search, Form Recognizer).
Knowledge of LLMs, Prompt Engineering, and Responsible AI practices.
Familiarity with Redis Cache for optimizing AI inference times.
Experience with MLOps and CI/CD best practices using Azure DevOps.
Key job details
About Virtusa
Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 people globally that cares about your growth — one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us.
Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence.
Virtusa is an Equal Opportunity Employer. All applicants will receive fair and impartial treatment without regard to race, color, religion, sex, national origin, ancestry, age, legally protected physical or mental disability, protected veteran status, status in the U.S. uniformed services, sexual orientation, gender identity or expression, marital status, genetic information or on any other basis which is protected under applicable federal, state or local law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government-issued ID during each interview. All candidates must be authorized to work in the USA.
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