AI Engineer
Full Stack
年収
Location
Job Overview And Responsibility
- Provide the software engineering and best practices required around the production of a Data Science or AI model application from start to finish. - Bring the team’s models to life by working with Engineering and Product teams to develop real-time customer-facing products empowered by the models. - Build integration between model serving endpoints with front-end web and mobile applications, as well as other services that consume the model output. - Ensure integration between the model training/inference jobs and databases, including real-time data streams. - Demonstrate the value of Data Science & AI to the business by quickly building POCs and prototypes. - Build scalable live A/B testing architecture and implementation around model deployment to rapidly and continuously experiment with new models. - Collaborate with Data Scientists and other Engineering teams to build platform capabilities that enable efficient model training, deployment, and CI/CD pipelines. - Support what the team builds by implementing robust testing, monitoring, logging, and alerting. - Work in a global and cross-functional team, acting as a thought leader and engineering expert to help shape the design and production of future products.
Required Skills and Experience
- 2+ years of experience building and deploying applications using one or more AWS cloud technologies. - Full-stack engineering experience related to designing APIs & microservices, integration among - AWS databases, backend services, and frontend web & apps. - Experience with Data Science, AI/ML pipelines on Amazon Sagemaker, Bedrock, or other cloud environments. - Data Engineering and DevOps skills in automation and virtualization related to model deployment and scaling. - Familiarity with different microservice deployment methodologies, including A/B testing, blue-green, and canary deployments. - Proficient in Python or other programming languages used for developing Data Science, AI/ML models. - A commitment to ongoing learning and development. - Proficient in verbal English.
Why Candidate should apply this position
- Benefits will be shared in details for successful candidates
Preferred skills and experiences
- Experience building AI/ML-driven customer-facing products in a fast-moving B2C e-commerce or marketplace environment. - Experience working with real-time data streams, Feature Store, and/or Data Lake. - Relevant knowledge in one or a few areas of Generative AI, LLMs, Machine Learning, Data Science, algorithms, statistics, optimizations, and hypothesis testing. - Previous people management experience or a desire to become a technical and people lead. - Detail-oriented with good discipline and a curious mindset. - Result-driven with a focus on delivering measurable business outcomes. - Be an entrepreneur – always looking for new opportunities to improve practices for the AI team.
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