WNS Global Services
intelligent operations and transformation
REF100889S_2026250090-Python/MachineLearning/AIML-2to4years-Nashik(WFO)
Neural analysis suggests this role is
optimal for entry candidates.
“REF100889S_2026250090 - Python/Machine Learning/ AIML - 2 to 4 years - Nashik (WFO) at WNS Global Services. Skills: Python, AI/ML, intelligent automation. Design and develop AI/ML-driven automation solutions using Python, focusing on intelligent decision-making and data processing. Build and integrate machine learning models for use cases such as document processing, classification, prediction, and sentiment analysis”
What You'll Achieve.
deliver sustainable outcomes; differentiated impact; create meaningful, measurable impact; ensure efficiency and scalability
Industry & Context.
intelligent decision-making; translate them into scalable solutions
What They're Looking For.
Must Have
Minimum 1 year of experience in Python development, AI/ML, or intelligent automation, Proficiency in Python, including libraries such as Pandas, NumPy, and basic ML frameworks (e. g. , scikit-learn), Understanding of core machine learning concepts (classification, regression, NLP basics), Experience working with APIs (REST) and integrating multiple systems, Exposure to handling structured and unstructured data for automation use cases
Nice to Have
Experience with NLP, document intelligence, or chatbot frameworks, Familiarity with LLM-based workflows and AI-assisted automation (e. g. , prompt engineering, agents), Hands-on experience with Microsoft Power Automate (Cloud/Desktop flows) or other RPA tools (UiPath, Automation Anywhere), Experience with cloud platforms such as Microsoft Azure (AI services, Functions, Logic Apps), Knowledge of Power Platform (Power Apps, Dataverse), Exposure to. NET (C#) for API or backend development, Familiarity with version control systems like Git
What You'll Do.
Design and develop AI/ML-driven automation solutions using Python
focusing on intelligent decision-making and data processing
Build and integrate machine learning models for use cases such as document processing
and sentiment analysis
Develop Python-based automation scripts for data extraction
and workflow optimization
Integrate AI/ML capabilities into business processes using tools like Microsoft Power Automate and RPA platforms
Orchestrate end-to-end automation workflows by combining AI models with Power Automate (Cloud and Desktop flows)
Work with structured and unstructured data (documents
images) to create intelligent automation pipelines
and improve model performance and automation reliability
and maintain automation pipelines to ensure efficiency and scalability
Prepare technical documentation for models
How You'll Work.
Team & Collaboration
Collaborate with business stakeholders to identify opportunities for AI-driven automation and translate them into scalable solutions
Full Job Description
WNS, part of Capgemini, is an Agentic AI-powered leader in intelligent operations and transformation, serving more than 700 clients across 10 industries, including Banking and Financial Services, Healthcare, Insurance, Shipping and Logistics, and Travel and Hospitality. We bring together deep domain excellence – WNS’ core differentiator – with AI-powered platforms and analytics to help businesses innovate, scale, adapt and build resilience in a world defined by disruption.Our purpose is clear: to enable lasting business value by designing intelligent, human-led solutions that deliver sustainable outcomes and a differentiated impact. With three global headquarters across four continents, operations in 13 countries, 65 delivery centers and more than 66,000 employees, WNS combines scale, expertise and execution to create meaningful, measurable impact. Job DescriptionWe are looking for an AI/ML-focused Automation Engineer who can design and implement intelligent, data-driven automation solutions. This role emphasizes leveraging Python and AI/ML techniques to build smart automation systems, with Power Automate and RPA tools used to orchestrate and operationalize workflows.The ideal candidate will combine strong programming skills with a solid understanding of machine learning concepts and process automation.Key Responsibilities• Design and develop AI/ML-driven automation solutions using Python, focusing on intelligent decision-making and data processing.• Build and integrate machine learning models for use cases such as document processing, classification, prediction, and sentiment analysis.• Develop Python-based automation scripts for data extraction, transformation, API integrations, and workflow optimization.• Integrate AI/ML capabilities into business processes using tools like Microsoft Power Automate and RPA platforms.• Orchestrate end-to-end automation workflows by combining AI models with Power Automate (Cloud and Desktop flows).• Work with structured and unstruc
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