Python Developer

1 week ago

Pune, Maharashtra, India Xoriant Full time ₹ 15,00,000 - ₹ 25,00,000 per year

Dear Applicant,

We are looking for a self-driven Python Developer with 4-6 years of experience to design, develop, and scale web applications and backend systems. The ideal candidate should be comfortable working in production environments, bringing strong problem-solving skills and experience with databases. Collaboration with AI teams is a key part of the role, so a background or interest in AI/ML will be highly valued.

Key Responsibilities:

  • Develop and maintain Python applications to address operational business needs.
  • Work on production-grade systems, ensuring scalability, performance, and reliability.
  • Collaborate closely with the AI team to integrate machine learning models and AI-based features into the backend.
  • Write clean, efficient Python code, following best practices (PEP 8) and design patterns.
  • Utilize frameworks like Django, Flask, or FastAPI for web applications and API development.
  • Develop and maintain RESTful APIs for seamless integration with front-end systems and third-party services.
  • Participate in code reviews and contribute to high-quality software.
  • Unit testing with frameworks such as PyTest to ensure quality and reduce defects.
  • Troubleshoot and resolve application issues, providing timely fixes and optimizations.
  • Optimize for speed and scalability of applications to handle high traffic.
  • Collaborate with cross-functional teams (Front-end, DevOps, QA) to ensure a smooth development cycle.
  • Document code, processes, and best practices for knowledge sharing and onboarding.
  • Stay current with Python trends and technologies, continually improving technical skills.

Technical Skills Required:

  • Python: Strong hands-on experience with Python (3.x), object-oriented programming (OOP), and design patterns.
  • Web Frameworks: Expertise in Django, Flask, or FastAPI.
  • Databases: Proficient in working with SQL (PostgreSQL, MySQL)
  • API Development: Deep understanding of building RESTful APIs and integrating with external services.
  • Version Control: Proficient in Git and Git workflows.
  • Unit Testing: Experience writing tests with PyTest, Unittest, or similar frameworks.
  • Cloud Services: Experience with AWS is a must.
  • Containerization: Familiarity with Docker and Kubernetes.
  • CI/CD: Experience setting up and managing CI/CD pipelines using Jenkins, GitLab CI, or CircleCI.
  • Message Brokers: Exposure to RabbitMQ, Kafka, or Celery for background task processing.
  • Security Best Practices: Knowledge of securing APIs, encryption, and ensuring data privacy.

Exposure to AI/ML and Data Science (Preferred):

  • Familiar with machine learning libraries such as TensorFlow, PyTorch, or Scikit-learn.
  • Data manipulation skills using Pandas, NumPy, and Matplotlib.
  • Exposure to data pipelines, integrating Python with AI/ML models.
  • Experience in model deployment and serving machine learning models via APIs.
  • Understanding of statistical analysis, data modeling, and analytics techniques.

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