Senior Python Developer-WFO

Sr. Python Developer

Roles & Responsibilities

• Develop, maintain, and scale web applications using Django & DRF.
• Implement and manage payment gateway integrations and ensure secure transaction handling.
• Design and optimize SQL queries, transaction management, and data integrity.
• Work with Redis and Celery for caching, task queues, and background job processing.
• Develop and deploy applications on AWS services (EC2, S3, RDS, Lambda, Cloud Formation).
• Implement strong security practices including CSRF token generation, SQL injection prevention, JWT authentication, and other security mechanisms.
• Build and maintain microservices architectures with scalability and modularity in mind.
• Develop Web Socket-based solutions including real-time chat rooms and notifications.
• Ensure robust application testing with unit testing and test automation frameworks.
• Collaborate with cross-functional teams to analyze requirements and deliver effective solutions.
• Monitor, debug, and optimize application performance, scalability, and reliability.
• Stay updated with emerging technologies, frameworks, and industry best practices.
• Create scalable machine learning models using frameworks like PyTorch, TensorFlow, and scikit-learn.
• Implement transformer architectures (e.g., BERT, GPT) for NLP and other advanced AI use cases.
• Optimize machine learning models through advanced techniques such as hyperparameter tuning, pruning, and quantization.
• Deploy and manage machine learning models in production environments using tools like TensorFlow Serving, TorchServe, and AWS SageMaker.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 3-5 years of professional experience as a Python Developer.
• Proficient in Python with a strong understanding of its ecosystem.
• Extensive experience with Django and Flask frameworks. 
• Hands-on experience with AWS services for application deployment and management.
• Strong knowledge of Django Rest Framework (DRF) for building APIs.
• Expertise in machine learning frameworks such as PyTorch, TensorFlow, and scikit-learn.
• Experience with transformer architectures for NLP and advanced AI solutions.
• Solid understanding of SQL and NoSQL databases (e.g., PostgreSQL, MongoDB).
• Familiarity with MLOps practices for managing the machine learning lifecycle.
• Basic knowledge of front-end technologies (e.g., JavaScript, HTML, CSS) is a plus.
• Excellent problem-solving skills and the ability to work independently and as part of a team.
• Strong communication skills and the ability to articulate complex technical concepts to non-technical stakeholders.