REF97957J- Azure Data Engineering / AI Models
WNS Global Services3 days ago
Noida, IndiaSenior
Responsibilities
- Design, build, and ship production-grade data and AI-powered applications across ingestion, AI model integration, application logic, user interfaces, and deployment.
- Develop scalable backend services and APIs for data quality, validation, analytics, and AI model-serving capabilities.
- Build and maintain automated pipelines for data ingestion, transformation, quality validation, and structured data delivery.
- Implement data quality dashboards, self-service insights, automated flagging, and summary reporting for business users.
- Implement data governance capabilities including audit trails, access control, lineage tracking, and reproducible workflows.
- Integrate, evaluate, and deploy AI/ML models, including LLM workflows, embedding pipelines, and prompt-engineering solutions.
- Collaborate with analysts, data scientists, and business stakeholders to translate requirements into product features.
- Support application deployment and integration on enterprise or client infrastructure.
Requirements
- At least 5 years of product or application engineering experience with a record of shipping production software.
- Strong proficiency in Python and backend application development.
- Experience with application frameworks, AI/ML libraries, LangChain, OpenAI SDK, or Hugging Face Transformers.
- Solid understanding of data engineering fundamentals, including pipelines, transformations, schema validation, and data quality.
- Experience building user-facing data and AI-powered products for non-technical business users.
- Familiarity with SQL and structured, multi-source datasets.
- Ability to work across the full application stack, communicate technical decisions clearly, and take end-to-end ownership.
- B.Tech or B.E. in Computer Science, IT, or a related field; M.Tech or MCA is preferred, and an M.Sc. in Statistics, Mathematics, or Data Science is listed.
- Cloud deployment experience with Azure, AWS, or GCP, including containerization, environment setup, managed services, and AI/ML model endpoint deployment, is a strong plus.
Benefits
- Shift timing is 12 PM–9 PM.
Tech Stack
Categories
AI ApplicationsProduct Engineering
About WNS Global Services
WNS Global Services provides outsourced business process and digital transformation services, including finance and accounting, customer experience, procurement, data-led analytics, risk, legal, and industry-specific operations for enterprises across multiple industries. Founded in 1996 and now part of Capgemini, it serves over 700 clients worldwide through a network of global delivery centers. Its teams also build and run cloud-based data and analytics solutions at scale.