ML Ops Engineer - Remote

Overview

We are seeking a ML Ops Engineer with strong experience in production-grade model serving and infrastructure for AI systems to join a fast-scaling cloud infrastructure startup.

In Short

• Fully remote position focused on EMEA timezone.
• Build and operate production-grade model serving infrastructure.
• Design and implement robust deployment pipelines.
• Optimize GPU utilization and network throughput.
• Manage model registries and CI/CD pipelines.
• Work closely with infrastructure and applied AI teams.
• 4+ years of experience in ML Ops or similar roles required.
• Experience with container orchestration and GPU workloads.
• Proficiency in Python and infrastructure-as-code tools.
• Ownership mindset in a remote-first environment.

Requirements

• Hands-on experience with model serving frameworks.
• Strong background in distributed systems and production reliability.
• Ability to use AI coding assistants effectively.
• Experience with MLOps tooling.
• Knowledge of GPU scheduling and optimization preferred.
• Background in early-stage startups is a plus.
• Proven experience building production systems from scratch.

Benefits

• Take ownership of critical infrastructure.
• Build foundational ML inference systems in a high-growth startup.
• Gain expertise in next-generation AI infrastructure.
• Influence core engineering decisions.
• Work in a fair and inclusive recruitment process.