Location: Remote Job Type: Full-time $300 Bonus will be paid out upon successful completion of a coding assessment. To receive this assessment, please submit your resume to this job application. If your resume is approved, you will receive the assessment afterwards. Job Description: We are seeking a highly skilled Django Developer with a strong background in data science to join our team. In this role, you will be responsible for developing and maintaining complex web applications that support our data-driven products. Your work will directly contribute to the enhancement of our AI capabilities and the delivery of high-impact solutions to our clients. This position is ideal for someone who is passionate about both backend development and data science, and who thrives in a dynamic, fast-paced environment. Key Responsibilities: Backend Development: Design, develop, and maintain scalable web applications using Django, ensuring they are efficient, secure, and easy to maintain. Data Science Integration: Collaborate with our data science team to integrate machine learning models, data pipelines, and analytics tools into web applications. API Development: Develop RESTful APIs to enable seamless integration between our applications and external systems. Database Management: Design and optimize database schemas, manage migrations, and ensure data integrity and performance across our platforms. Performance Optimization: Monitor and improve the performance of our applications, ensuring they are responsive and can handle high volumes of traffic and data. Testing and Debugging: Write unit and integration tests to ensure the reliability of the codebase, and troubleshoot and resolve any issues that arise. Collaboration: Work closely with cross-functional teams, including front-end developers, data scientists, and product managers, to deliver high-quality products on time. Continuous Learning: Stay up-to-date with the latest developments in Django, Python, data science, and AI technologies, and apply new knowledge to your work. Qualifications: Data Science Knowledge: Solid understanding of data science principles, including experience working with data scientists to implement machine learning models and data pipelines. Programming Skills: Proficiency in Python, with a deep understanding of Django and related libraries. Familiarity with data science libraries such as Pandas, NumPy, and Scikit-learn is a plus. Database Skills: Experience with relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB). API Development: Proven experience in designing and developing RESTful APIs. Version Control: Proficient in Git and version control workflows. Problem-Solving: Strong analytical and problem-solving skills, with the ability to think critically and adapt to changing requirements. Communication: Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. Remote Work: Self-motivated, disciplined, and comfortable working in a remote environment. Preferred Qualifications: AI/ML Experience: Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch) and deploying machine learning models into production. Cloud Experience: Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and cloud-based data services. DevOps Knowledge: Experience with CI/CD pipelines and containerization (e.g., Docker, Kubernetes).