Senior MLOps Lead - Switzerland

Jobgether • Switzerland

Remote

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AI Summary

Lead a team, define MLOps roadmap, design scalable ML infrastructure, collaborate with research and product teams in a remote, international environment.

Key Highlights

Lead and mentor MLOps team

Define and execute MLOps roadmap

Design and maintain scalable ML infrastructure

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Key Responsibilities

Lead, mentor, and develop a high-performing team of MLOps engineers

Define and execute the MLOps roadmap

Design, implement, and maintain scalable machine learning infrastructure

Drive architectural decisions for model serving platforms

Collaborate closely with research teams to streamline model transition to production

Establish monitoring, logging, alerting, and observability strategies

Technical Skills Required

Python MLOps Cloud platforms (AWS, GCP, Azure)

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Benefits & Perks

Competitive compensation package

Comprehensive healthcare coverage

Generous paid parental leave

Job Description

As an MLOps Lead, you will shape the strategy, architecture, and operational excellence of a cutting-edge machine learning infrastructure supporting large-scale AI systems. Leading a team of MLOps engineers, you will bridge the gap between research and production, ensuring that machine learning models are deployed, monitored, and scaled efficiently in high-performance environments. This role combines technical leadership with hands-on architectural decision-making, offering the opportunity to build robust infrastructure from the ground up while collaborating closely with engineering, research, and product teams. Working in a fully remote, international environment, you will help establish best practices and drive innovation across the entire machine learning lifecycle, enabling the delivery of reliable and scalable AI solutions.

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