Fullstack Lead (mainly biased towards UI front-end frameworks)

Job Description Summary:

Join and build the next generation of AI Personalization platform in client's Consumer Machine Learning team. Take AI Stack to the next level, and create the future of the Search stack on the client's App! As a Machine Learning Engineer in Consumer ML Ops team, you will be responsible for designing, developing, and maintaining recommendation infrastructure on client Stacks and deploying solutions that impact hundreds of millions of consumers' personalized experiences.

Get involved in Google Vertex (any cloud will do) AI solutions Stack to bring cutting-edge cloud solutions into existing stacks, such as AutoML, custom training, BQML, real-time inferencing, features stores, GenAI, etc. You will be working closely with data science team to ensure that models are deployed, monitored, and scaled efficiently.

Requirements:

• Bachelors / Master’s degree or equivalent experience in a quantitative field (Computer Science, Mathematics, Statistics, Engineering, Artificial Intelligence, etc.)
• At least 4 years experiences, experiences in HTML, CSS, and React-based UI libraries, good at programming skills in Java or Python;
• Should possess strong problem-solving skills, excellent communication skills, clear thinking, and concise reporting. Prior team management experience is preferred.
• Familiarity with DevOps tools such as Docker, Kubernetes, or Jenkins for building CI/CD pipelines is preferred.
• Experience in project management is required, and experience in agile project development is a plus.
• Good English speaking and writing.