drjobs Senior MLOps Engineer - AI (m/f/d)

Senior MLOps Engineer - AI (m/f/d)

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1 Vacancy
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Job Location drjobs

Berlin - Germany

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Why voize Because were more than just a job!

At voize were revolutionizing the healthcare industry with AI: Nurses simply speak their documentation into their smartphones and our AI automatically generates the correct entries. This saves each nurse an average of 39 minutes per day improves the quality of documentation and makes their daily work much more rewarding.

Voize is YCombinatorfunded already in use at over 600 senior care homes and has grown by 100% in the last 90 days. Our customers save over 3.5 million hours annually time spent on people instead of paperwork.

But this is just the beginning. With our selfdeveloped voize AI were transforming not only the healthcare industry but also have the potential to create value in many other sectors from healthcare to inspections.

As a dynamic team we blend cuttingedge technology with social impact. And now its your turn to join us!

Your Mission:

If youre excited to work at the cutting edge of ML infrastructure largescale systems and MLOps then go ahead and apply! With us youll design and scale robust infrastructure optimize training pipelines on realworld data and enable our ML and Data teams to ship models and features to production every day.

Your Daily Business No two days are alike

  • Monitor maintain and scale our ML infrastructureincluding GPU clusters ML controllers and cloud/onprem resourcesensuring smooth model training and deployment at scale

  • Deploy and manage hosted models for production use cases assisted labeling and MLpowered backend products like RAG

  • Design and optimize data infrastructure systems and pipelines to process evergrowing datasets support data exploration and annotation and meet high reliability/performance requirements

Your Skillset What you bring to the table

  • Several years experience deploying and serving ML models in production environments using frameworks like Triton and formats like ONNX to ensure scalable lowlatency inference

  • Youve worked with ML training infrastructure including managing onprem or colocation GPU clusters

  • You have experience with ETL & Data pipelines including stream vs. batch processing monitoring and DAG scheduling with tools like Airflow

  • You follow best practices with Infrastructure as Code and GitOps using tools like Terraform Helm or ArgoCD

  • You are fluent in container orchestration with Kubernetes and Docker ensuring smooth deployment monitoring and maintenance of machine learning services.

Our Success Mindset How we work at voize

  • You speak German (B1 or better) & English to communicate effectively with our team and customers

  • Resilience is one of your strengths you see challenges as opportunities not obstacles

  • Iterative working suits you you test learn and improve constantly instead of waiting for perfection

  • Communication & feedback come naturally to you you openly address issues and both give and receive constructive feedback

Growing together what you can expect at voize

  • Become a cocreator of our success with virtual stock options

  • Our office is in Berlin and we offer remote work

  • We provide flexible working hours because you know best when you work most efficiently!

  • Access to various learning platforms (e.g. Blinkist Audible etc.)

  • We have an open culture and organize regular work weeks and team events to collaborate and bond

  • We are a fastgrowing startup so youll encounter various challenges providing the perfect foundation for rapid personal growth

  • Your work will make a real impact helping alleviate the workload for healthcare professionals

  • Free Germany Ticket and Urban Sports Club membership

  • 30 days of vacation plus your birthday off

Ready to talk Apply now!

We look forward to your application and cant wait to meet you no matter who you are or what background you have!


Required Experience:

Senior IC

Employment Type

Full-Time

Company Industry

About Company

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