Solutions Architect - Cloud and MLOps solutions
Thecompany
Nebius AI is anAIcentric public cloud platform specifically crafted to serve AImodels for training and inference.
Our mission isto help ML practitioners concentrate on their core jobs whileDevOps MLOps and infrastructurerelated tasks are handled by us.
Theidea is to build an MLspecific cloud platform covering the entireML lifecycle from A to Z : from data preparation and labeling to MLtraining and inference.
We recognize thepotential of ML and AI technologies and aim to provide our futureusers with the perfect environment to train and finetune theirmodels.
We are committed to delivering the best user experience andexcellent customer support.
Fourdevelopment hubs :
Nebius is headquarteredin the Netherlands with hubs in Finland Serbia andIsrael.
Data center inEurope :
Our own data center in Finlandfeatures server racks designed inhouse for MLspecific high loadwith powerefficient solutions including a freecoolingsystem.
500professionals :
Our mature team of engineershas a proven track record in developing sophisticated cloud and MLsolutions and designing cuttingedgehardware.
Therole
We are seeking a highlyskilled and customerfocused professional to join our team as a Solutions Architect specializing in Cloud and MLOps .
As a SolutionsArchitect you will play a pivotal role in designing andimplementing cuttingedge solutions for our clients leveraging cloudtechnologies for ML / AI teams and becoming a trusted technicaladvisor for building their pipelines.
Yourewelcome to work remotely from Canada.
Inthis position your responsibility will beto :
- Act as a trustedadvisor to our clients providing technical expertise and guidancethroughout the engagement. Conduct PoC workshops presentations andtraining sessions to educate clients on GPU cloud technologies andbest practices.
- Collaborate with clients tounderstand their business requirements and develop solutionarchitecture that align with their needs : design and documentInfrastructure as code solutions documentation and technical howtosin collaboration with support engineers and technicalwriters.
- Help customers to optimize pipelineperformance and scalability to ensure efficient utilization ofcloud resources and services powered by NebiusAI.
- Act as a single point of expertise ofcustomer scenarios for product technical support marketingteams.
Weexpect you to have :
- 5years of experience as a cloud solutions architect system / networkengineer developer or a similar technical role with a focus oncloud computing
- Strong handson experience withIaC and configuration management tools (preferablyTerraform / Asible) Kubernetes skills of writing code inPython
- Solid understanding of GPU computingpractices for ML training and inference workloads GPU softwarestack components including drivers libraries (e.g. CUDAOpenCL)
- Excellent communicationskills
- Customercentricmindset
- FluentEnglish
Itwould be an added bonus if youhad :
- Handson experiencewith HPC / ML orchestration frameworks (e.g. SlurmKubeflow)
- Handson experience with deep learningframeworks (e.g. TensorFlow PyTorch)
- Solidunderstanding of cloud ML tools landscape from industry leaders(NVIDIA AWS AzureGoogle)
Doesall that sound like your kind of challenge Then joinus!
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