About the role
TL;DR
Lead ML Engineer to shape next-gen search platform, bridging IR modeling with production systems.
- •Lead ML Engineer to own next-gen search platform, bridging IR modeling with production systems.
- •Key Responsibilities Design and tune hybrid search engine combining Vector Search and Lexical Search.
- •Implement advanced ranking and blending strategies.
- •Own search accuracy and relevance metrics.
- •Build automated evaluation harness for continuous testing.
- •Conduct load testing and stress-test retrieval pipelines.
- •Requirements 10+ years of professional experience in Machine Learning and AI engineering.
- •Google Cloud Professional Machine Learning Engineer or TensorFlow Developer Certification.
- •Hands-on experience with MLOps, CI/CD pipelines, and orchestration tools.
- •Familiarity with model serving and monitoring frameworks.
- •Demonstrated track record of mentoring engineers and leading cross-functional AI/ML projects.
Required skills
ElasticsearchKubeflowTensorFlowPyTorchMLflowSageMakerONNXJAXCI/CDDockerKubernetesGitHub ActionsJenkinsArgoCDHelm
Nice-to-have skills
Computer Vision
Domain expertise
ecommerce
Tech stack
ElasticsearchLocustk6KubeflowAirflowDagsterVertex AIGoogle CloudPythonPandasNumPyscikit-learnTensorFlowPyTorchMLflowSageMakerONNXJAXCI/CDDockerKubernetesGitHub ActionsJenkinsArgoCDHelmGitLab CICircleCIAnsibleChefPuppet