TTT - Python Full Stack - Staff

At EY, you ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

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.

Qualifications:

• Bachelors or Masters 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.

Preferred Skills:

• Experience with containerization technologies (e.g., Docker).
• Familiarity with version control systems (e.g., Git).
• Knowledge of Agile methodologies and software development life cycle.

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