Machine Learning Engineer

Job Description

Job Summary We are seeking a highly skilled Machine Learning to join our dynamic team. In this role, you will leverage your expertise in Microsoft Machine Learning, Robotic Process Automation (RPA), Optical Character Recognition (OCR), and advanced Python programming to drive innovation and efficiency within our organization. You will be responsible for developing, deploying, and maintaining machine learning models, automating business processes, and enhancing OCR capabilities using tools such as Tesseract OCR and UI Path. Key Responsibilities : • Design, develop, and deploy machine learning models and solutions using Microsoft Machine Learning tools and frameworks. Implement and manage automation workflows using RPA tools such as UI Path to optimize and streamline business processes. Integrate OCR technologies, particularly Tesseract OCR, to extract and process text from documents and images. • Utilize Azure Data Factory (ADF) to orchestrate and automate data pipelines, ensuring efficient data integration and processing. Write clean, scalable, and maintainable code in Python to support automation, machine learning, and OCR processes. • Collaborate with cross-functional teams to understand business needs and design automation solutions to meet those needs. • Continuously evaluate and improve the performance and accuracy of machine learning models and automation workflows. Stay updated with the latest trends and technologies in AI, machine learning, and RPA to ensure the team remains at the forefront of innovation. Technical Skills Required: • Strong proficiency in Python programming for machine learning and automation development. • Experience with Microsoft Machine Learning tools and libraries. • Hands-on experience with RPA tools, especially UI Path, for automating business processes. • Solid understanding of OCR technologies, specifically Tesseract OCR. • Familiarity with Azure Data Factory (ADF) for data integration and pipeline management. • Knowledge of machine learning algorithms and frameworks. • Strong problem-solving skills and the ability to work with large datasets. • Excellent communication and collaboration skills to work effectively with technical and non technical teams.