Job Url: https://www.remoterocketship.com/company/snssystem/jobs/python-application-developer-united-states Job Description: SNS System Private Limited Website LinkedIn All Job Openings SNS System is a leading global business consulting and IT service company. We combine complex industry & functional expertise, leading technology practices, and an advanced global delivery model to enable companies to unlock their business potential. IT Services β€’ Business Solutions β€’ Consulting 51 - 200 employees Founded 2000 Python Application Developer February 15 πŸ‡ΊπŸ‡Έ United States – Remote ⏰ Full Time 🟒 Junior πŸ”™ Backend Engineer AWS Azure Cloud Django Docker Flask Google Cloud Platform MongoDB MySQL Node.js Postgres Python PyTorch Tensorflow Apply Now Receive Emails with Similar Jobs Report problem πŸ“‹ Description β€’ This is a remote position. β€’ As a Python Application Developer, you will be responsible for building and maintaining high-quality web applications, automation tools, and AI/ML models. β€’ You will use frameworks like Django, Flask, or Fast API for web development, and leverage TensorFlow or PyTorch to implement AI/ML models. β€’ Additionally, you’ll work with databases such as PostgreSQL, MongoDB, or MySQL to manage data and ensure the efficient performance of applications. 🎯 Requirements β€’ Strong Python Programming Skills: Extensive experience with Python and its libraries, including expertise in writing efficient, clean, and maintainable code. β€’ Experience with Web Frameworks: Solid experience with Django, Flask, or Fast API for developing backend web applications and APIs. β€’ Knowledge of AI/ML Frameworks: Experience implementing AI/ML models using TensorFlow or PyTorch to build intelligent systems. β€’ Database Management: Hands-on experience working with databases like PostgreSQL, MongoDB, or MySQL, with a solid understanding of database architecture and optimization. β€’ RESTful API Development: Familiarity with RESTful APIs and their integration within Python-based applications. β€’ Cloud Platform Experience: Understanding of cloud platforms (AWS, GCP, Azure) and their use for deploying scalable applications. β€’ Version Control Knowledge: Experience using version control systems such as Git for collaboration and code management. β€’ Bonus Qualifications: Experience with Docker or containerization. β€’ Familiarity with DevOps practices and CI/CD pipelines. β€’ Knowledge of machine learning deployment strategies and model optimization. Apply Now