Pubblicato il 15 giugno
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PpPosted: /ppJob reference: 5e e757b c84fa0da1 /ph3Job information /h3pLocation /ppClient / Employer /ppExplore Group /ppJob reference /pp5e e757b c84fa0da1 /ppListing type /ppBasic /ppEU work permit required /ppNo /ppPosted /p pMLOps Engineer (SWE-Focus) – Italy Portugal /ppbRole Overview /b /ppWe are looking for an MLOps Engineer who prioritises the "Ops" and Software Engineering (SWE) side of the lifecycle.
While model development knowledge is expected, this role is specifically for someone who excels at building and supporting robust (web) applications that leverage AI/ML.
You will be responsible for the infrastructure, backend integration, and industrialisation of our machine learning systems.
/ppbKey Responsibilities /b /pullibProduction-Grade Backend: /b Architect and maintain high-performance backend systems (Go/Rust/Python) to serve and support ML models within web applications.
/lilibSWE-Driven MLOps: /b Bridge the gap between data science and production by applying solid software engineering principles to the ML lifecycle.
/lilibDeployment Orchestration: /b Build, automate, and scale CI/CD pipelines, containerised environments (Docker/Kubernetes), and model monitoring systems.
/li /ulpbRequirements /b /pullibExperience: /b Strong professional background in Software Engineering or Backend Development.
/lilibTech Stack: /b Proficiency in Python and either bGo /b or bRust /b is highly desirable.
/lilibWeb Architecture: /b Proven experience with FastAPI, microservices, and building APIs that support AI features.
/lilibML Knowledge: /b Hands-on experience with model development and training lifecycles (though the primary focus is industrialisation).
/li /ulpbDetails /b /pullibEmployment Type: /b Permanent /lilibLocation: /b Remote (Based in Italy or Portugal) /li /ul /p #J-*****-Ljbffr