Senior ML Ops (x/f/m)
Doctolib Sourced
No account needed — this role is applied for on the employer’s own site.
About the role
<h2 class="pb-2 pt-4 heading-xl text-foreground">Set a new pulse for healthcare!</h2> <div class="whitespace-pre-wrap break-words font-normal first:pt-0 last:pb-0 py-1 @sm:pt-2 @sm:pb-[10px] @sm:leading-relaxed text-base leading-relaxed text-foreground">We are looking for a <strong class="font-semibold text-foreground">Senior MLOps Engineer</strong> to join the <strong class="font-semibold text-foreground">ML Platform</strong> team.</div> <div class="whitespace-pre-wrap break-words font-normal first:pt-0 last:pb-0 py-1 @sm:pt-2 @sm:pb-[10px] @sm:leading-relaxed text-base leading-relaxed text-foreground">Your mission will be to build and scale the infrastructure that brings machine learning to life at Doctolib — powering AI-driven solutions that improve the daily experience of care teams and patients across Europe. You will work in a cross-functional team developing the ML platform and tooling that underpins Doctolib's AI products, contributing directly to faster, more reliable deployment of models that have a real impact on healthcare delivery.</div> <div class="whitespace-pre-wrap break-words font-normal first:pt-0 last:pb-0 py-1 @sm:pt-2 @sm:pb-[10px] @sm:leading-relaxed text-base leading-relaxed text-foreground">Working in the tech team at Doctolib means building innovative products and features to improve the daily lives of care teams and patients.</div> <h2 class="pb-2 pt-4 heading-xl text-foreground">What you'll do</h2> <div class="whitespace-pre-wrap break-words font-normal first:pt-0 last:pb-0 py-1 @sm:pt-2 @sm:pb-[10px] @sm:leading-relaxed text-base leading-relaxed text-foreground">Your responsibilities include but are not limited to:</div> <ul class="pb-2 flex flex-col gap-1 list-disc pl-6 text-foreground text-base leading-relaxed"> <li class="break-words text-foreground text-base leading-relaxed">Build and deploy production-grade machine learning models in close collaboration with data scientists and engineers, ensuring performance, scalability, and reliability</li> <li class="break-words text-foreground text-base leading-relaxed">Design and maintain the MLOps pipeline, including version control, CI/CD, and monitoring of ML models in production</li> <li class="break-words text-foreground text-base leading-relaxed">Develop tools, frameworks, and best practices to streamline the model development and deployment lifecycle</li> <li class="break-words text-foreground text-base leading-relaxed">Ensure the availability and performance of ML systems, proactively identifying and resolving issues before they impact users</li> <li class="break-words text-foreground text-base leading-relaxed">Partner with cross-functional teams to gather requirements, provide technical guidance, and contribute to the development of end-to-end ML solutions</li> <li class="break-words text-foreground text-base leading-relaxed">Share and advocate MLOps knowledge across the tech community, documenting processes, standards, and best practices to drive consistency and knowledge transfer</li> </ul> <h2 class="pb-2 pt-4 heading-xl text-foreground">Who you are</h2> <div class="whitespace-pre-wrap break-words font-normal first:pt-0 last:pb-0 py-1 @sm:pt-2 @sm:pb-[10px] @sm:leading-relaxed text-base leading-relaxed text-foreground">Before you read on: if you don't have the exact profile described below, but you feel this job description matches your skill set, we still encourage you to apply.</div> <div class="whitespace-pre-wrap break-words font-normal first:pt-0 last:pb-0 py-1 @sm:pt-2 @sm:pb-[10px] @sm:leading-relaxed text-base leading-relaxed text-foreground"><strong class="font-semibold text-foreground">You'll be a great fit if you:</strong></div> <ul class="pb-2 flex flex-col gap-1 list-disc pl-6 text-foreground text-base leading-relaxed"> <li class="break-words text-foreground text-base leading-relaxed">Are proficient in Python, SQL, Shell Scripting, and Terraform, with hands-on experience building and containerizing ML pipelines with Docker</li> <
Skills
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