Responsibilities: Proficient in Python programming with strong coding skills Familiar with machine learning and deep learning fundamentals; capable of independently building and tuning models Basic knowledge of JavaScript / Node.js; backend development experience is a plus Able to build, call, and integrate model services using RESTful APIs Comfortable with common data processing and storage technologies (e.g., SQL, MongoDB, Redis) Familiar with model deployment workflows; experience with Docker and Linux is preferred Solid understanding of system design and debugging; familiarity with tools like CI/CD and Git for collaborative development Preferred Qualifications: Experience in full-stack or frontend-backend collaborative projects Familiarity with MLOps toolchains (e.g., MLflow, Airflow, Kubeflow) Hands-on experience deploying models on cloud platforms such as AWS or GCP