Full stack developer building and maintaining backend APIs for generative AI and recommender-system applications, deploying ML models with data scientists, and running MLOps data pipelines. Core stack: Python with Flask/FastAPI, Vue/React front ends, AWS, MongoDB/MySQL/Postgres, Kafka, Elasticsearch, Docker/Kubernetes and CI/CD.
Responsibilities:
● Design, develop, prototype, and maintain backend APIs for generative AI, recommender system and other internal-facing applications
● Work with data scientists to implement and deploy machine learning models
● Develop and maintain data pipelines to collect, clean, and prepare and process data for machine learning training and inference use cases
● Monitor and troubleshoot backend systems to ensure availability and performance
● Excellent problem-solving and debugging skills
● Work with other developers to build and enhance a robust and scalable MLOps backend infrastructure
Requirements:
● experience with Python programming
● experience in API development, preferred to use the Flask/FastAPI framework.
● experience in UI development using Vue or ReactJS.
● Experience in planning, designing, developing, architecting, and implementing cloud solutions with AWS platform is a plus.
● Hands-on experience in one or more of the following technologies: MongoDB, RDBMS (e.g MySQL/Postgres), Apache Kafka and ElasticSearch.
● Experience with microservices architecture and application containerisation (e.g Docker and Kubernetes)
● Good knowledge and experience in CI/CD technologies and best practices, experience in supporting production applications.
● Proficiency in data processing, data science or data analytic is a plus.
● Team Player who is self-driven and proactive in learning new technologies and skills.
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