The Senior MLOps Engineer will enhance the ML Ops Platform, support model deployment, and collaborate with data scientists to implement best practices.
Personio's intelligent HR platform helps small and medium-sized organizations unlock the power of people by making complicated, time-consuming tasks simple and efficient. Our growing team of 1,800+ Personios across Europe and the US are building user-friendly products that delight our 14,000+ customers and their 1.5 million employees. Ready to make an impact from day one?
Senior MLOps Engineer
About Personio
At Personio, we're on a mission to make HR software easy, powerful, and scalable for Europe's SMEs. As one of Europe's fastest-growing tech companies, we're transforming how HR works.
The Role: MLOps Engineer (Mid-to-Senior)
We're hiring an MLOps Engineer to join our Data Platform Engineering team and contribute to our AI & ML platform. You'll help build the internal infrastructure and tooling that allows our data scientists and AI engineers to deploy machine learning models safely, quickly, and at scale.
What You'll Do
What We're Looking For
Why Join Us?
Location & Interview Process
Both roles are based in Berlin or Dublin. We welcome candidates across Europe and offer relocation support for those open to moving.
The interview process includes:
Ready to build the future of ML Ops at Personio? Apply now and help us pave the road for intelligent HR.
Senior MLOps Engineer
About Personio
At Personio, we're on a mission to make HR software easy, powerful, and scalable for Europe's SMEs. As one of Europe's fastest-growing tech companies, we're transforming how HR works.
The Role: MLOps Engineer (Mid-to-Senior)
We're hiring an MLOps Engineer to join our Data Platform Engineering team and contribute to our AI & ML platform. You'll help build the internal infrastructure and tooling that allows our data scientists and AI engineers to deploy machine learning models safely, quickly, and at scale.
What You'll Do
- Contribute to our ML Ops Platform - Help build and improve the systems that enable model deployment, observability, and governance.
- Work hands-on with infra and code - Contribute using Python, TypeScript, Terraform, CDK, and tools like Snowflake, SageMaker, Databricks.
- Collaborate widely - Partner with stakeholders in data science, analytics, and engineering to align requirements and deliver impactful tools.
- Define best practices - Help shape how ML infrastructure is built and operated at Personio.
What We're Looking For
- 3+ years of software/platform/data engineering experience
- Exposure to production-grade ML model deployment and operations
- Familiarity with infra-as-code tools like Terraform or CDK
- Solid coding skills in Python and/or TypeScript
- Experience with cloud platforms (ideally AWS) and data systems like Snowflake or Databricks
- A proactive mindset and eagerness to work in a new and evolving area
Why Join Us?
- Work on meaningful AI features like employee engagement prediction, job classification, and proactive workforce insight
- Join a brand-new initiative with plenty of greenfield opportunities
- Enjoy competitive pay, benefits, and equity options
- Flexible hybrid work model and a supportive team culture
Location & Interview Process
Both roles are based in Berlin or Dublin. We welcome candidates across Europe and offer relocation support for those open to moving.
The interview process includes:
- Recruiter screen
- Hiring manager chat
- Case study presentation (submitted in advance)
- Culture & department interviews
Ready to build the future of ML Ops at Personio? Apply now and help us pave the road for intelligent HR.
Top Skills
Cdk
Databricks
Python
Sagemaker
Snowflake
Terraform
Typescript
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