Senior Staff Machine Learning Engineer
Core
Architecting and deploying large-scale cloud ML systems, Gen-AI, and agentic AI solutions for fleet safety and transportation ecosystem optimization.
Role type
Senior Staff Machine Learning Engineer (IC)
Builds
Production-ready scalable cloud ML systems, distributed data platforms, and Gen-AI/LLM services.
Domain
Transportation / Fleet Safety / Computer Vision / Edge Computing
Deliverable
production ML models
Required skills
Distributed systems, Cloud infrastructure (AWS), Python, Machine Learning, Deep Learning, Gen-AI, LLMs, Data pipelines, MLOps, Observability, Software engineering fundamentals
Preferred skills
Agentic AI systems, AI-native development practices, LLMOps, Infrastructure as code, Streaming technologies, Data visualization
Technologies
AWS (Kinesis, SQS, EKS, Lambda, S3), Python, Java/Rust/C++, Kafka, Terraform, Kubernetes, Helm, FastAPI, MLFlow, Huggingface, LangGraph, Tableau, Grafana, Plotly-Dash
Responsibilities
Own architecture of large-scale cloud ML systems end-to-end; Design, develop, and deploy production-ready scalable cloud solutions using Gen-AI and traditional ML; Architect distributed, fault-tolerant services and data platforms; Apply advanced statistical methods and ML techniques to uncover trends in large-scale datasets; Create robust frameworks to automate data mining, labeling, and model training; Set engineering standards and mentor Staff and Senior engineers; Collaborate with cross-functional teams to implement data-driven solutions; Conduct studies and publish KPI audits; Develop ROI models to quantify business impact.
Seniority
Senior Staff, hands-on IC with mentorship
