Junior Python Developer
1 day ago
About the Role
We are looking for a Junior Python Developer with a passion for AI research and API development to join our growing team. In this role, you will be responsible for building scalable, high-performance APIs and contributing to AI/ML research and implementation. You will work closely with data scientists, researchers, and product teams to design and deploy intelligent systems that power our next- generation applications.
Key Responsibilities
• Design, develop, and maintain Python-based APIs for AI/ML models and services
• Collaborate with AI researchers to implement and optimize machine learning models
• Conduct research into new AI/ML techniques and evaluate their applicability to business problems
• Build RESTful and GraphQL APIs using frameworks like FastAPI, Flask, or Django REST Framework
• Write clean, testable, and maintainable Python code with a focus on performance and scalability
• Participate in code reviews, mentor junior developers, and contribute to best practices
• Integrate AI models with backend systems and frontend applications
• Stay up-to-date with AI/ML trends, Python libraries (e.g., PyTorch, TensorFlow, Scikit-learn), and API design patterns
• Work in an agile environment, delivering high-quality software in iterative sprints
Qualifications
• Bachelors or Master's degree in Computer Science, Data Science, or a related field
• 1-2 years of professional experience in software development.
• Strong experience with Python web frameworks (e.g., FastAPI, Flask, Django)
• Hands-on experience with AI/ML model deployment and integration
• Familiarity with machine learning libraries such as TensorFlow, PyTorch, or Scikit-learn
• Experience with API design and development, including REST and GraphQL
• Solid understanding of software architecture, design patterns, and best practices
• Excellent problem-solving skills and attention to detail
• Strong communication skills and the ability to work in a collaborative, cross-functional team
• Bonus: Experience with Docker, Kubernetes, CI/CD pipelines, and cloud platforms (AWS, GCP, Azure)
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