ML Engineer - with Data Science Background (d/f/m)

Personio SE & Co. KG; Deutschland; Hybrid; EUR 70.000 - 90.000; Vollzeit

Zusammenfassung

A fast-growing tech company in Germany is seeking an experienced ML Engineer to join their innovative AI team. In this role, you will design and deploy robust machine learning solutions, collaborating across departments to drive AI-driven decision-making. The ideal candidate has over 5 years of experience in machine learning, a strong software engineering background, and familiarity with MLOps practices for effective production implementations. Join us to help shape the future of HR technology with your expertise in AI.

Leistungen

28 days of vacation plus additional days for long service

Mental health support

Flexible working conditions

Qualifikationen

• 5+ years' experience building and deploying production-grade machine learning models.
• Strong software engineering mindset with experience in writing clean, scalable code in Python.
• Hands-on experience with ML frameworks like TensorFlow and PyTorch.

Aufgaben

• Design, develop, and deploy ML and AI systems for various business cases.
• Integrate ML models into production ensuring scalability and reliability.
• Collaborate with cross-functional teams to deliver AI-driven insights.

Kenntnisse

Machine Learning

Data Science

Python

MLOps

NLP

Generative AI

Ausbildung

University degree in Computer Science or related field

Tools

AWS

Snowflake

TensorFlow

PyTorch

SageMaker

Jobbeschreibung

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?

ML Engineer - with Data Science Background (d/f/m)

Personio is growing rapidly. With that growth comes the increasing demand for machine learning solutions that don't just provide insights, but power real, production-ready products.

As an ML Engineer, you will play a pivotal role in shaping Personio's AI and ML capabilities. We are looking for someone who can build high-quality ML systems with the rigor of an engineer, while also bringing the curiosity and experimentation mindset of a data scientist. Your work will involve productionizing ML and generative AI models, ensuring they deliver measurable business impact.

You'll join our central AI/ML function, collaborating across departments to drive innovation and enable AI-driven decision-making at scale.

What you'll do

• Design, develop, and deploy robust machine learning and AI systems for a range of business use cases, including generative AI.
• Build and operationalize ML solutions to address business challenges and unlock new opportunities.
• Integrate ML and AI models into production systems, ensuring scalability, reliability, and maintainability.
• Deploy and monitor MLOps workflows, including CI/CD pipelines, automated testing, monitoring, and model versioning.
• Leverage cloud platforms (AWS + Snowflake) and ML infrastructure (e.g., SageMaker, feature stores) for scalable deployment.
• Collaborate with cross-functional teams (Product, Sales, Marketing, etc.) to deliver AI-driven features and insights.
• Ensure all ML/AI solutions adhere to best practices in data privacy, security, and ethical standards.
• Contribute to a culture of technical excellence, knowledge sharing, and continuous learning.

What you need to succeed

• University degree in Computer Science, Machine Learning, Data Science, or a related field.
• 5+ years' experience building and deploying production-grade machine learning models.
• Strong software engineering mindset - ability to write clean, reusable, and scalable code in Python.
• Experience integrating ML/AI models into production software systems.
• Solid understanding of MLOps practices, CI/CD pipelines, and automated testing frameworks.
• Background in data science: comfort with experimentation, A/B testing, and measuring ROI/impact of ML projects (not just accuracy).
• Hands-on experience with ML frameworks (e.g., TensorFlow, PyTorch, Hugging Face).
• Experience with NLP or generative AI techniques is a strong plus.
  Familiarity with cloud-based ML infrastructure (AWS, Snowflake, SageMaker, etc.).

Why this role?

• Join a newly created AI sprint team focused exclusively on delivering LLM and ML-powered projects with real business impact.
• Work in a lean, well-supported environment (dedicated TPM, analytics engineer, and data platform support - no need to build ingestion pipelines).
• Full ownership of end-to-end ML delivery: from prototype to production.
• Exposure to high-impact use cases (e.g., automating marketing campaigns, personalization engines) backed by executive sponsorship.
• A chance to bridge the gap between data science and engineering, bringing cutting-edge AI into production at scale.

Why Personio?

We're one of Europe's fastest-growing tech companies, building the leading HR platform for SMEs. With over 15,000 customers, offices across Europe, and strong backing from top-tier investors, Personio is scaling fast - and AI is a critical enabler of that growth.

We're also proud of our culture:

• A diverse, inclusive workplace where your voice matters.
• Competitive compensation, equity, and benefits.
  28 days' vacation, plus an additional day after two and four years.
• Flexible, office-led but remote-friendly working with the option for international work weeks.
• Mental health support, family leave, Impact Days, sabbaticals, and regular team events.