WNS
B2B • Enterprise • SaaS
WNS is a global business process management company that operates across 13 countries with over 66 delivery centers and employs more than 62,000 people. The organization is committed to inclusivity and diversity, fostering a unique culture of co-creation and continuous learning. WNS offers various career opportunities across the Asia Pacific, Europe, Africa, and the Americas, and prides itself on its transparent and merit-based recruitment process. As a leader in its field, WNS focuses on nurturing future leaders and decision-makers while maintaining a strong emphasis on social responsibility through initiatives like the WNS Cares Foundation.
Assistant Manager – WTS, Python, AI/ML, GEN AI
November 21
WNS
B2B • Enterprise • SaaS
WNS is a global business process management company that operates across 13 countries with over 66 delivery centers and employs more than 62,000 people. The organization is committed to inclusivity and diversity, fostering a unique culture of co-creation and continuous learning. WNS offers various career opportunities across the Asia Pacific, Europe, Africa, and the Americas, and prides itself on its transparent and merit-based recruitment process. As a leader in its field, WNS focuses on nurturing future leaders and decision-makers while maintaining a strong emphasis on social responsibility through initiatives like the WNS Cares Foundation.
📋 Description
• Develop agentic AI workflows using LangChain/LangGraph with custom tools, memory, decision logic, and MCP integrations. • Implement LLM applications with advanced prompt engineering (structured outputs, function calling, context management) and build RAG pipelines with vector databases. • Build and deploy event-driven AI services on AWS using Bedrock, SageMaker, Lambda, EventBridge, Step Functions, API Gateway, DynamoDB, and S3. • Write clean, testable Python code; create unit/integration tests; and package solutions with CI/CD pipelines (GitHub Actions). • Monitor and optimize AI application performance through logging, metrics, token usage, and cost management. • Integrate AI services with APIs, backend systems, and databases to ensure secure and reliable data flow. • Contribute to document AI and predictive analytics models for information extraction, classification, and forecasting. • Fine-tune Hugging Face Transformer models (BERT, RoBERTa, LayoutLM, DistilBERT) and train neural networks (PyTorch/TensorFlow) for supervised tasks. • Implement data preprocessing and annotation workflows for training and evaluation. • Work with OCR and text-processing tools (AWS Textract, Tesseract) for semi-structured/unstructured documents.
🎯 Requirements
• 5+ years in software engineering, including 3+ years in AI/ML or Generative AI systems. • Proven development experience with LLM frameworks (LangChain, LangGraph) and LLM APIs (Claude, OpenAI, Llama, Titan). • Hands-on experience with AWS Bedrock and SageMaker for AI/ML workloads. • Strong Python skills (async, data structures, optimization). • Practical experience with vector databases (Pinecone, ChromaDB, FAISS, OpenSearch) for RAG implementations. • Familiarity with event-driven AWS services (Lambda, EventBridge, Step Functions, API Gateway, DynamoDB, S3, CloudWatch). • Exposure to document AI and predictive analytics, including Hugging Face Transformers, classification, and extraction pipelines. • Understanding of data preprocessing and OCR workflows for document pipelines.
🏖️ Benefits
• Remote work options
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