Lead Machine Learning Engineer
Core
Technical authority for high-stakes client engagements, architecting and delivering enterprise-grade AI solutions (GenAI agents, recommendation engines, predictive models) on Google Cloud.
Role type
Lead Machine Learning Engineer (hands-on IC with leadership)
Builds
Production ML systems, MLOps pipelines, internal accelerators, and reusable frameworks for financial, retail, and manufacturing clients.
Domain
Cloud AI & Data Engineering (GCP)
Deliverable
production ML models
Required skills
Machine Learning fundamentals, Cloud architecture (GCP), Python, Software Engineering best practices, REST API design, SQL, Infrastructure-as-Code (Terraform), MLOps, Technical strategy, Mentorship
Preferred skills
Client-facing/consulting experience, Google Cloud certifications, Kubeflow, Vertex AI Pipelines, MLflow, Streamlit, Gradio
Technologies
Google Cloud Platform, Terraform, Python, Flask, FastAPI, SQL, Kubeflow, Vertex AI Pipelines, MLflow, Streamlit, Gradio
Responsibilities
Drive technical strategy from pre-sales to delivery, architect and implement production-grade ML solutions, shape technical standards and best practices, lead strategic internal initiatives, cultivate engineering talent through mentorship
Seniority
Senior, hands-on IC with leadership
