Staff Machine Learning Engineer
Core
Architect, build, and deploy production-grade, scalable ML systems transforming massive volumes of user-generated content into actionable insights for brands and retailers.
Role type
Staff Machine Learning Engineer (NLP & Generative AI)
Builds
Production ML systems, data pipelines, and observability frameworks for NLP and Generative AI applications.
Domain
Retail technology, Natural Language Processing, Generative AI
Deliverable
production ML models
Required skills
MLOps, AWS ecosystem (SageMaker, MSK, Bedrock), NLP (sarcasm detection, polysemy, multilingual data), Deep Learning, Generative AI (LLMs, RAG, Prompt Engineering), PyTorch, TensorFlow, scikit-learn, CI/CD, Model Observability
Preferred skills
None stated
Technologies
Amazon SageMaker, Amazon S3, AWS Step Functions, AWS CloudFormation, Amazon CloudWatch, Amazon MSK, Amazon Bedrock, PyTorch, TensorFlow, scikit-learn
Responsibilities
Lead design and deployment of complex production-grade ML systems and data pipelines; Solve high-complexity problems in AI application (sentiment analysis, content moderation, recommendations); Drive innovation and address technical debt in ML infrastructure; Provide technical mentorship to engineers; Collaborate with Data Scientists and Product Managers; Implement MLOps practices (CI/CD, model monitoring, governance); Implement observability frameworks for model drift and data quality detection.
Seniority
Staff, strategic individual contributor with deep technical leadership
