
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.
51 - 200 employees
Founded 2000
February 15
AWS
Azure
Cloud
Django
Docker
Flask
Google Cloud Platform
MongoDB
MySQL
Node.js
Postgres
Python
PyTorch
Tensorflow

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.
51 - 200 employees
Founded 2000
• This is a remote position. • As a Python Application Developer, you will be responsible for building and maintaining high-quality web applications, automation tools, and AI/ML models. • You will use frameworks like Django, Flask, or Fast API for web development, and leverage TensorFlow or PyTorch to implement AI/ML models. • Additionally, you’ll work with databases such as PostgreSQL, MongoDB, or MySQL to manage data and ensure the efficient performance of applications.
• Strong Python Programming Skills: Extensive experience with Python and its libraries, including expertise in writing efficient, clean, and maintainable code. • Experience with Web Frameworks: Solid experience with Django, Flask, or Fast API for developing backend web applications and APIs. • Knowledge of AI/ML Frameworks: Experience implementing AI/ML models using TensorFlow or PyTorch to build intelligent systems. • Database Management: Hands-on experience working with databases like PostgreSQL, MongoDB, or MySQL, with a solid understanding of database architecture and optimization. • RESTful API Development: Familiarity with RESTful APIs and their integration within Python-based applications. • Cloud Platform Experience: Understanding of cloud platforms (AWS, GCP, Azure) and their use for deploying scalable applications. • Version Control Knowledge: Experience using version control systems such as Git for collaboration and code management. • Bonus Qualifications: Experience with Docker or containerization. • Familiarity with DevOps practices and CI/CD pipelines. • Knowledge of machine learning deployment strategies and model optimization.
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