REF100889SPythonMachine Learning AIML 2 to 4 years Nashik (WFO)

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 ideal candidate will combine strong programming skills with a solid understanding of machine learning concepts and process 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 unstructured data (documents emails images) to create intelligent automation pipelines. Collaborate with business stakeholders to identify opportunities for AI-driven automation and translate them into scalable solutions. Monitor evaluate and improve model performance and automation reliability. Debug test and maintain automation pipelines to ensure efficiency and scalability. Prepare technical documentation for models scripts workflows and integrations. ( Add-on) Develop backend services or APIs (C#) to support AI-powered automation systems.

Qualifications :

Required Skills & Experience Bachelors degree in Computer Science Engineering Data Science or a related field. Minimum 1 year of experience in Python development AI/ML or intelligent automation. Strong 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 Skills (Good 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 (C#) for API or backend development. Familiarity with version control systems like Git.

Remote Work :

No

Employment Type :

Full-time