Lead ML Engineer

New

Skills

Docker Feature Engineering Kubernetes Pyspark Python Pytorch

Job Overview

Lead Machine Learning Engineer role involving guiding tech direction, collaborating with cross-functional teams, and developing production ML systems.

Responsibilities
  • Lead ML projects across multiple teams
  • Collaborate with scientists, engineers, product, and success teams
  • Embrace AI-first practices and Claude Code
  • Work in small collaborative teams on end-to-end ML infra
  • Keep processes lightweight with rigorous ML experimentation
Requirements & Qualifications
  • 8+ years of experience building production ML systems
  • Technical leadership across multiple ML projects
  • Expertise in ML deployment, model serving, feature engineering, and monitoring
  • Python software engineering; ML frameworks like XGBoost, PyTorch, PySpark
  • Cloud-native ML infra, containerization, and orchestration (Kubernetes, Docker)

Job Type: Remote

Salary: Not Disclosed

Experience: Entry

Duration: 12 Months

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