Full Stack Developer (Python & C#/.NET)
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Key skills for this role
About the Role
SAVE IN GOLD is seeking a Full Stack Developer with 4+ years of experience in Python, C#/.NET, and Machine Learning. The role involves developing scalable web applications, RESTful APIs, and deploying ML models.
Key Skills for This Role
Responsibilities
- Design, develop, and maintain scalable web applications using Python and C#/.NET
- Develop and integrate RESTful APIs and third party services
- Build responsive front end applications using modern JavaScript frameworks
- Develop, train, test, and deploy Machine Learning models for business applications
- Integrate Machine Learning models into web applications and APIs
- Perform data preprocessing, feature engineering, and model optimization
- Work with SQL databases, optimize queries, and maintain data integrity
- Write clean, secure, scalable, and maintainable code following industry best practices
- Troubleshoot application issues and optimize performance
- Participate in Agile development, code reviews, testing, and deployment activities
- Collaborate with cross functional teams to deliver AI powered business solutions
Requirements
- Minimum 4 years of professional software development experience
- Strong proficiency in Python
- Strong experience with C#, ASP.NET, .NET Core/.NET Framework
- Hands on experience in Machine Learning
- Experience with machine learning libraries such as Scikit learn, TensorFlow, PyTorch, XGBoost, or Keras
- Experience developing and consuming REST APIs
- Strong knowledge of SQL Server, database design, and optimization
- Experience with HTML5, CSS3, JavaScript, and Bootstrap
- Experience with React.js, Angular, or Vue.js
- Strong understanding of Object Oriented Programming (OOP) and Design Patterns
- Experience with Git and version control
- Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Information Technology, or a related field
Full Job Posting
Job Summary
- We are looking for a highly motivated and experienced Full Stack Developer with a minimum of 4 years of professional experience in Python, C#/.NET, and Machine Learning.
- The ideal candidate will be responsible for developing scalable web applications, designing RESTful APIs, and implementing machine learning models into production environments.
- This role requires strong expertise in both software development and AI/ML technologies.
Key Responsibilities
- Design, develop, and maintain scalable web applications using Python and C#/.NET
- Develop and integrate RESTful APIs and third party services
- Build responsive front end applications using modern JavaScript frameworks
- Develop, train, test, and deploy Machine Learning models for business applications
- Integrate Machine Learning models into web applications and APIs
- Perform data preprocessing, feature engineering, and model optimization
- Work with SQL databases, optimize queries, and maintain data integrity
- Write clean, secure, scalable, and maintainable code following industry best practices
- Troubleshoot application issues and optimize performance
- Participate in Agile development, code reviews, testing, and deployment activities
- Collaborate with cross functional teams to deliver AI powered business solutions
Mandatory Technical Skills
- Minimum 4 years of professional software development experience
- Strong proficiency in Python (Mandatory)
- Strong experience with C#, ASP.NET, .NET Core/.NET Framework (Mandatory)
- Hands on experience in Machine Learning (Mandatory)
- Experience with machine learning libraries such as Scikit learn, TensorFlow, PyTorch, XGBoost, or Keras
- Experience developing and consuming REST APIs
- Strong knowledge of SQL Server, database design, and optimization
- Experience with HTML5, CSS3, JavaScript, and Bootstrap
- Experience with React.js, Angular, or Vue.js
- Strong understanding of Object Oriented Programming (OOP) and Design Patterns
- Experience with Git and version control
Preferred Skills
- Experience with Azure AI, Azure ML, AWS, or Google Cloud Platform
- Knowledge of Docker, Kubernetes, and CI/CD pipelines
- Experience with microservices architecture
- Knowledge of Generative AI, Large Language Models (LLMs), Retrieval Augmented Generation (RAG), and AI integrations is an added advantage
- Experience with authentication and authorization (JWT, OAuth)
- Familiarity with Redis, RabbitMQ, or similar technologies
Educational Qualification
- Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Information Technology, or a related field
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