13 days ago
Chennai, IndiaSenior / Staff+
Responsibilities
- Deploy AI models to achieve business goals and implement data-intensive solutions.
- Design and build automated data ingestion pipelines and LLM data pipelines using AWS.
- Clean, process, transform, profile, and validate unstructured and semi-structured data for AI usage.
- Develop software modules using Python and SQL and ensure optimal, error-free implementation.
- Build and execute software validation test cases, troubleshoot failures, and modify software for fixes, performance improvements, or interface upgrades.
- Work with NLP processing, embeddings, vector databases, graph databases, and related AI frameworks.
- Analyze requirements, recommend system installations or modifications, and evaluate software-hardware interfaces.
- Prepare technical documentation, reports, flowcharts, diagrams, code comments, and project status updates.
- Coordinate with teams and clients, capture requirements, respond to customer requests, and support on-time delivery.
- Monitor continuous integration, deployment, software onboarding, implementation quality, throughput, release schedules, customer satisfaction, and reporting compliance.
Requirements
- 5–8 years of professional experience.
- Strong Python for data science skills.
- Experience deploying AI models and implementing solution architectures for data-intensive systems.
- Experience with ETL, data engineering, data ingestion, data integration, and automated AWS pipelines.
- Experience preparing and validating data, including identifying data gaps and inconsistencies.
- Experience with SQL, Docker, Kubernetes, NLP processing, vector databases, embeddings, and ETL libraries.
- Strong understanding of NLP parsing, chunking, splitting, and tokenization.
- Experience with graph databases and tools such as LangChain, LangGraph, LlamaIndex, AutoGen, and Neo4j.
- Ability to perform coding, software validation, troubleshooting, documentation, reporting, and customer coordination.
- Willingness to participate in continuing education, training, and skill-upgrading certifications.
Tech Stack
Categories
About Wipro
Wipro is a global IT services and consulting firm that provides application development, cloud migration, infrastructure management, data/AI, and business process outsourcing for enterprises. It earns revenue through long-term outsourcing, managed services, and project-based consulting across multiple industries. Founded in 1945 and headquartered in Bangalore, India, Wipro is publicly traded (NYSE: WIT; NSE/BSE: WIPRO).
