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

Internetwork Expert

Kraków

Remote

USD 16,414 - 32,829

Full time

14 days+

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Benefits offered by this job

Fully remote position
Flexible working hours
Inspiring global team
Modern development workflows
High impact projects
Flat organization

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.

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.
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