Full-Stack Developer

Job Description: We are looking for a skilled Full-Stack Developer with strong experience in Python and JavaScript, and a solid grasp of both frontend and backend development, especially within the context of Machine Learning (ML) and Artificial Intelligence (AI) applications. The ideal candidate will have hands-on experience building scalable, production-ready applications and integrating ML models into end-user-facing products. You should be comfortable working independently in a fast-paced environment, while also collaborating closely with data scientists, product managers, and other engineers. Key Responsibilities: Develop, test, and maintain scalable web applications that integrate ML/AI models. Collaborate with data science teams to deploy and monitor models in production. Build and optimize RESTful APIs and microservices using frameworks like FastAPI, Django, or Node.js. Create dynamic, responsive user interfaces using modern JavaScript frameworks (e.g., React, Vue, or similar). Maintain high standards of code quality and participate in code reviews. Troubleshoot and resolve technical issues across the full stack. Required Qualifications: 3-5 years of industry experience in full-stack development. Proficiency in Python (Flask, FastAPI, or Django) and JavaScript (React, Vue, or Angular). Experience in ML/AI libraries such as Langchain/langgraph, Transformers, pytorch Experience working with application servers, particularly Node.js, for building backend services. Strong understanding of relational and non-relational databases (e.g., PostgreSQL, MongoDB). Experience working with ML pipelines and integrating AI features into products. Familiarity with containerization tools (Docker, Kubernetes) and cloud platforms (AWS, GCP, or Azure). Comfortable with Git workflows and Agile development methodologies. Proficiency with Dash, Plotly Experience with R for data analysis and model development (considered a plus). Exposure to MLOps tools and model versioning (e.g., MLflow, DVC). Background in data visualization (Plotly). Knowledge of security best practices in web development. Education: Bachelor's degree in Computer Science or related field required. Master's degree preferred.