Lead ML Engineer — Remote, Flexible Hours, Scale AI Systems

Internetwork Expert; Remote; USD 16,000 - 33,000; Full time

Job summary

An innovative firm is seeking a Lead Machine Learning Engineer to spearhead large-scale ML projects that impact millions of users. This role involves overseeing the entire lifecycle of ML products, from design to deployment, while driving collaboration across teams. You will leverage your extensive experience in building and maintaining production ML systems to influence technical discussions and decisions. Join a dynamic and inclusive team that values creativity and innovation, and contribute to the future of machine learning and cybersecurity in a fully remote and flexible work environment.

Benefits

Fully remote position

Flexible working hours

Inspiring global team

Modern development workflows

High impact projects

Flat organization

Qualifications

• 7+ years of experience in building large-scale ML systems.
• Proven experience in product ownership and complex design decisions.
• Strong communication skills for technical discussions.

Responsibilities

• Lead ML projects from inception to production, ensuring scalability.
• Design and implement machine learning pipelines impacting millions.
• Mentor ML engineers and set technical standards for the team.

Skills

Machine Learning

Software Engineering

Problem Solving

Kubernetes

Python

Distributed Systems

Microservice Design

Communication Skills

Tools

Clickhouse

Argo

Kafka

Job description

An innovative firm is seeking a Lead Machine Learning Engineer to spearhead large-scale ML projects that impact millions of users. This role involves overseeing the entire lifecycle of ML products, from design to deployment, while driving collaboration across teams. You will leverage your extensive experience in building and maintaining production ML systems to influence technical discussions and decisions. Join a dynamic and inclusive team that values creativity and innovation, and contribute to the future of machine learning and cybersecurity in a fully remote and flexible work environment.