Design and develop end-to-end AI solutions across Generative AI, LLMs, RAG, Document AI, Machine Learning, OCR, and Computer Vision use cases.
Build POCs and prototypes, evaluate commercial and open-source models, and select appropriate AI technologies based on business requirements, performance, cost, and latency.
Develop reusable LLM components, prompt engineering frameworks, RAG pipelines, and API-based AI services for integration with enterprise applications.
Build Document AI and OCR solutions for classification, extraction, validation, and accuracy improvement through preprocessing and post-processing techniques.
Develop ML and Computer Vision solutions including feature engineering, model training, tuning, validation, image classification, object detection, and visual inspection.
Develop data pipelines using Databricks, Spark, and Azure services, integrating enterprise data sources, databases, cloud storage, APIs, and external services.
Implement secure AI application deployment practices, environment management, version control, model versioning, experiment tracking, and production monitoring.
Evaluate and test LLMs, prompts, RAG pipelines, APIs, document extraction, and AI workflows, while monitoring model performance and business KPIs.
India
USA
All
