EY TTT - Python Staff 

India, Karnataka, Bengaluru 

56030291

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.

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.

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.