Job Title: Python Full Stack Developer Experience: 4–6 Years Location: Hybrid Or Specific Location (Noida, Pune, Jaipur, Udaipur)
Job Summary:
We are looking for an experienced Python Full Stack Developer to join our innovative team. The ideal candidate will have expertise in Python development and cloud-native application development, as well as proficiency in AI domains such as computer vision, natural language processing (NLP), large language models (LLMs), and cloud-based AI services. With a strong foundation in full-stack development and database management, you will play a key role in designing and implementing advanced solutions. This hybrid role offers the opportunity to work in a flexible and collaborative environment.
Key Responsibilities:
•Develop and maintain scalable web applications using Python frameworks such as Django or Flask.
•Design and implement cloud-native applications, leveraging modern cloud platforms.
•Build and optimize machine learning and AI solutions, including computer vision, NLP, and LLM-based models.
•Utilize cloud AI services for deploying and integrating machine learning solutions.
•Develop front-end interfaces with modern frameworks like React/Angular and ensure seamless integration with back-end services.
•Manage database architecture, performance tuning, and efficient query writing using SQL, NoSQL, or other database technologies.
•Troubleshoot and debug issues to optimize the full stack performance.
•Collaborate with cross-functional teams to design and deliver innovative, high-quality solutions.
•Keep up with emerging technologies and industry trends, particularly in AI and cloud development.
Required Skills and Qualifications:
•4–6 years of hands-on experience in Python development.
•Proficiency in full-stack development with frameworks like Django/Flask (back-end) and React/Angular (front-end).
•Expertise in cloud-native application development and deployment on platforms such as AWS, Azure, or Google Cloud.
•Strong understanding of computer vision, NLP, and large language models (LLMs).
•Experience using cloud AI services like Azure Cognitive Services, AWS SageMaker, or Google AI/ML services.
•Solid knowledge of database management systems, including SQL and NoSQL.
•Familiarity with RESTful API design and implementation.
•Strong problem-solving skills, with attention to detail and optimization.
•Excellent communication and team collaboration abilities.
Preferred Qualifications:
•Knowledge of DevOps practices, including CI/CD pipelines and containerization (Docker/Kubernetes).