Staff Data Engineer
Core
Design, build, and scale production-grade ML pipelines, generative AI capabilities, and real-time data streaming systems for AI-powered fleet analytics.
Role type
Staff Data Engineer (ML)
Builds
Production ML pipelines, generative AI systems, real-time data streaming, and agentic AI workflows for fleet safety.
Domain
Transportation technology / Fleet safety / Generative AI
Deliverable
production ML models | product features | infrastructure
Required skills
Generative AI system design, Agentic AI patterns, Real-time data streaming, MLOps, Data warehousing/lakehouse, Python, SQL, Cloud infrastructure (AWS), Container orchestration, Workflow orchestration, LLM frameworks
Preferred skills
Data visualization, Rapid prototyping tools, Vector search techniques
Technologies
Apache Kafka, Amazon Kinesis, Docker, Kubernetes/EKS, Apache Airflow, MLFlow, PyTorch, TensorFlow, Hugging Face Transformers, Snowflake, Amazon Redshift, Apache Spark/EMR, Delta Lake, FastAPI, Django, Flask, Streamlit, Gradio, Dash, Tableau, Grafana, Plotly Dash
Responsibilities
Design and deploy scalable generative AI and ML solutions on AWS; Build and manage real-time/batch data streaming pipelines; Implement generative AI solutions using LLMs, prompt engineering, and RAG; Build and scale agentic AI systems; Implement MLOps best practices for CI/CD and model monitoring; Champion data quality and governance through data contracts and validation.
Seniority
Staff, hands-on IC with strategic ownership