Full Stack Engineer

Project Role: Full Stack Engineer

Project Role Description: As a Full Stack Engineer at Accenture in Bengaluru, you will be instrumental in developing and engineering end-to-end system features, encompassing both user experience and backend code. You will leverage your development skills to deliver innovative solutions that empower our clients to enhance their services. Embracing a cloud-first and agile methodology, you will utilize new technologies to solve complex business challenges.

Must-Have Skills: Python (Programming Language)

Good-to-Have Skills: N/A

Minimum Experience Required: 2 years

Educational Qualification: 15 years of full-time education

Summary

We are seeking a proficient Python engineer who thrives on building reliable, scalable solutions and possesses a keen interest in advancing into AI, ML, and Generative AI domains. Your primary expertise in Python will be the cornerstone of your role, focusing on analytics, data pipelines, and backend services that drive critical business use cases. Through structured training and practical experience, you will progressively expand your skillset into AI-driven solutions, including predictive analytics, intelligent assistants, and model-powered APIs. You will collaborate closely with data, platform, and engineering teams to deliver practical, robust, and production-ready solutions.

Roles & Responsibilities

• Build and deliver Python-based applications and analytics solutions.
• Write clean, modular, and high-performance Python code.
• Develop and maintain data pipelines and backend services.
• Partner with data and platform teams to ensure high-quality data for analytics and future ML use cases.
• Contribute to technical designs and engineering decisions, with Python as your core strength.
• Support the integration of ML and GenAI models into Python applications as you upskill.
• Solve technical challenges across teams with a strong engineering mindset.
• Guide and mentor junior engineers on Python best practices.
• Continuously improve code quality, testing, performance, and deployment processes.

Professional Technical Skills

Must-Have (Core Hiring Skills):

• Strong hands-on experience in Python development.
• Experience building and supporting production-grade Python applications.
• Good understanding of data structures, OOP, and Python performance.
• Practical experience with Pandas, NumPy, and data manipulation.
• Working knowledge of SQL and databases.
• Familiarity with backend frameworks like Flask, FastAPI, or Django.
• Sound understanding of software engineering best practices (Git, testing, CI/CD).

Good-to-Have / Learn-on-the-Job:

• Exposure to data analytics or analytical problem-solving.
• Basic understanding of machine learning concepts.
• Awareness of AI, ML, or Generative AI fundamentals (training will be provided).
• Experience working on cloud platforms (Azure, AWS, or GCP).
• Familiarity with Docker, APIs, and deployment pipelines.

Additional Information

• At least 2 years of hands-on Python experience.
• Background in Python backend, analytics, or full-stack development.
• A strong interest in learning and growing into AI, ML, and Generative AI modeling.
• 15 years of full-time education required.

Qualification

15 years full-time education