Lead Machine Learning Engineer - Mlops Engineer

UPS

In, IN, United States
Mlops best practices
Vertex ai pipelines, kubeflow, airflow
Terraform/helm for infrastructure-as-code
Our Machine Learning Engineering teams use their expertise in data science, software engineering, and AI to build next-generation intelligent systems

Job Summary

  • Our Machine Learning Engineering teams use their expertise in data science, software engineering, and AI to build next-generation intelligent systems.
  • You will lead cross-functional teams, define technical direction, and ensure the robustness, scalability, and reliability of ML systems across the full lifecycle.
  • We are seeking a visionary Lead Machine Learning Engineer to architect, guide, and deliver enterprise-grade ML solutions that drive strategic business outcomes.

Matching Summary

Our Machine Learning Engineering teams use their expertise in data science, software engineering, and AI to build next-generation intelligent systems.

Skills & Requirements

Must-have

  • MLOps best practices
  • Vertex AI Pipelines, Kubeflow, Airflow
  • Terraform/Helm for infrastructure-as-code
  • CI/CD workflows for ML
  • model monitoring, observability, alerting
  • feature stores, vector databases, knowledge graphs

Nice-to-have

  • innovative culture
  • rewarding culture
  • talented teams
  • technical excellence and innovation
  • emerging ML technologies

Key Requirements

  • 8+ years of experience in ML engineering, MLOps
  • Bachelor's or Master's degree in Computer Science, Engineering, Mathematics
  • Proven track record of leading ML projects
  • Deep expertise in Python (scikit-learn, PyTorch, TensorFlow, XGBoost) and SQL
  • Experience architecting ML systems in cloud environments
  • Strong background in containerization, orchestration, big data, and streaming technologies

Work Rights

Not specified

Tailored Resume

Cover Letter