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## Role overview We are seeking a Deputy Manager in Data Engineering to lead the design and deployment of production-grade data and AI-powered applications. The role requires full-stack ownership from data ingestion through AI model integration and user-facing feature deployment. ## Responsibilities - Design, build, and ship end-to-end data pipelines and AI applications - Collaborate with data scientists to integrate machine learning models into production systems - Ensure scalability, reliability, and performance of data infrastructure ## Requirements - 4-7 years of experience in data engineering and backend development - Strong background in building AI-powered applications - Proficiency in cloud platforms and distributed systems ## Benefits - Opportunity to lead innovative data-driven projects - Collaborative environment with cross-functional teams - Professional development resources

## Role overview The Assistant Manager - Sales & Communication Training leads end-to-end training programs to enhance communication skills and sales effectiveness across customer service teams. This role combines language training, consultative sales coaching, and performance enablement to drive customer experience improvements and sales conversion rates. ## Key focus - Develop and deliver communication, sales, and soft skills training - Coach agents on consultative sales techniques - Monitor and improve customer experience metrics - Enable floor-level performance through real-time support

## Role overview WNS Global Services seeks a Senior Associate to manage Python-based automation pipelines and AI-driven data workflows. Responsibilities include monitoring, troubleshooting, and optimizing systems for data processing and machine learning operations. ## Key responsibilities - Monitor and maintain production automation pipelines using Python. - Troubleshoot and resolve production issues in AI/data systems. - Collaborate on optimizing LLM-enabled and document processing workflows. ## Requirements - 1+ years of experience in automation, data engineering, or AI operations. - Proficiency in Python for data processing and pipeline automation. - Familiarity with AI/ML model deployment or data workflow optimization. ## Benefits - Opportunity to work with cutting-edge AI and automation technologies. - Career growth in a global services environment. - Competitive compensation and professional development support.