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Home › Jobs › Machine Learning › TTT - Python Full Stack - Staff
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TTT - Python Full Stack - Staff

EY
Experience1 year
Salary Not disclosed
Job TypeFull time
Skills: Machine Learning Python Pandas NumPy NLP
Job Description
Job Title: TTT - Python Full Stack - Staff Company: EY Job Category: Machine Learning Roles & Responsibilities: Job Description: As a Staff/Senior Python Developer, you will be responsible for designing, developing, and implementing robust applications and solutions using Python. You will work closely with cross\-functional teams to deliver high\-quality software that meets business needs. Key Responsibilities: * Develop and maintain scalable applications using Python and relevant frameworks (Flask, Django). * Utilize libraries such as Pandas and Numpy for data manipulation and analysis. * Implement data visualization techniques to present insights effectively. * Apply Natural Language Processing (NLP) techniques to extract meaningful information from text data. * Work with Optical Character Recognition (OCR) technologies to process and analyze images and documents. * Design and implement machine learning and deep learning models, including neural networks. * Collaborate with DevOps teams to set up CI/CD pipelines and manage ML Ops on Azure. * Leverage Azure services for deploying and managing machine learning models, including LLM using OpenAI. * Participate in code reviews, mentoring junior developers, and ensuring best practices in software development. Work Location: Karnataka, India Availability: Full time
Requirements
Location: Bengaluru Other locations: Primary Location Only Salary: Competitive Date: 28 Oct 2026 Job description ------------------- Qualifications: * Bachelor's or Master's degree in Computer Science, Engineering, or a related field. * Proven experience as a Python Developer, with a strong portfolio of projects. * Proficiency in Python programming and frameworks such as Flask and Django. * Solid understanding of data manipulation and analysis using Pandas and Numpy. * Experience with data visualization tools and techniques. * Knowledge of NLP techniques and libraries (e.g., NLTK, SpaCy). * Familiarity with OCR technologies and their applications. * Strong understanding of machine learning, deep learning, and neural networks. * Experience with Azure services, CI/CD pipelines, and ML Ops. * Excellent problem\-solving skills and the ability to work independently and in a team environment. Key Skills: Machine Learning, Python, Pandas, NumPy, NLP Salary: Not disclosed
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