Senior Data Scientist
Vivantify Technology Solutions India Pvt. Ltd. · Not specified · onsite · Posted 52d ago
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About this role
Location: Pune
Experience: 3–5 Years
Openings: 1
Employment Type: Permanent
About The Role We are seeking a highly skilled
AI Engineer to design, develop, and deploy enterprise AI solutions using
Microsoft Azure AI Foundry, Azure OpenAI, Azure AI Services, and Intelligent Document Processing (IDP) technologies. The role focuses on building advanced OCR, document understanding,
Generative AI, Machine Learning, Computer Vision, LLM, and RAG solutions for complex business documents.
Job Description The role involves developing production-grade AI and GenAI applications, including
LLM-powered solutions, Agentic AI, RAG architectures, AI copilots, chatbots, and intelligent assistants . The engineer will work with Azure AI services to build scalable solutions for document classification, extraction, validation, and processing. A major focus will be on enterprise
OCR and Intelligent Document Processing , covering structured, semi-structured, and unstructured documents such as invoices, contracts, engineering drawings, purchase orders, handwritten forms, scanned PDFs, and multipage tables. The role includes improving OCR accuracy through image preprocessing, document layout detection, confidence scoring, and human-in-the-loop validation. The engineer will also design scalable Azure architectures, implement
MLOps/LLMOps , automate deployments, and integrate AI solutions with enterprise platforms such as Oracle ERP, Salesforce, SAP, ServiceNow, SharePoint, Microsoft Teams, Power Platform, and UiPath. Strong attention to AI governance, security, compliance, monitoring, and responsible AI practices is required. Key Responsibilities
- Design and deploy enterprise AI solutions using Azure AI Foundry, Azure OpenAI, and Azure AI Services.
- Develop GenAI, Agentic AI, LLM, and RAG applications, including copilots and intelligent assistants.
- Architect and implement advanced OCR and Intelligent Document Processing pipelines.
- Build document classification, entity extraction, key-value extraction, and table recognition solutions.
- Develop and optimize machine learning and computer vision models for document intelligence.
- Design scalable Azure architectures and implement MLOps/LLMOps and automated deployment pipelines.
- Integrate AI solutions with enterprise applications and REST APIs, including Oracle ERP, Salesforce, SAP, ServiceNow, and SharePoint.
- Establish AI monitoring, governance, security, compliance, and observability practices.
Required Skills
- Azure AI Foundry
- Azure OpenAI Service
- Azure AI Document Intelligence / Azure Cognitive Services
- Azure Machine Learning
- Python
- LangChain and Semantic Kernel
- Prompt Engineering and RAG Architecture
- Vector Databases
- OCR and Intelligent Document Processing
- Computer Vision
- REST APIs
- Docker and Kubernetes
- Azure DevOps and Git
- Document intelligence including invoice processing, contract extraction, engineering drawing analysis, handwritten text recognition, form processing, layout detection, table extraction, and multipage document processing
- Entity Recognition and Knowledge Extraction
Preferred / Good To Have
- Microsoft Copilot Studio
- UiPath Document Understanding
- ABBYY
- OpenCV
- PyTorch / TensorFlow
- Hugging Face
- Neo4j Knowledge Graphs
- GraphRAG
- Microsoft Fabric
- Power Platform Mandatory Skills
- Oracle AI and ChatBOT (OR) Candidate Profile The ideal candidate will have strong experience in
AI engineering, Azure AI/ML, Generative AI, OCR, and Intelligent Document Processing , with hands-on expertise in developing production-grade solutions. A Bachelor's or Master's degree in
Computer Science, Artificial Intelligence, Machine Learning, Data Science, Engineering, or a related field is required, along with the ability to work on complex enterprise AI solutions and integrations. Benefits Package
- Competitive salary and benefits package
- Opportunities for professional growth and development
- A collaborative and inclusive work environment
- The opportunity to work on exciting and challenging projects with leading clients
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