AI/ML Engineer
2 hours ago
Skills, Experience & Qualifications
Required
- 5+ years building and deploying applications using AWS cloud technologies as an AI/ML engineer or in at least one of the following areas: Data engineering, Cloud engineering, backend or full-stack engineering, MLOps, DevOps.
- Data Science, AI/ML pipelines on Amazon Sagemaker, Bedrock or other cloud environments
- Experienced designing APIs & microservices, integration among AWS databases, backend services
- Skills in automation and virtualisation related to model deployment and scaling, Infra as Code with Terraform
- 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 & development
Desirable:
- 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 and Data Lake
- Relevant knowledge in one or a few areas of Generative AI, LLMs, Machine Learning, Data science, algorithms, statistics, optimisations, hypothesis testing
Attributes
- Detail-oriented with good discipline and a curious mindset
- Result-driven with 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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