Machine Learning Engineer supporting the Enterprise Machine Learning team in developing advanced solutions. Collaborating with stakeholders and driving data science initiatives in a hybrid work environment.
About the role
- Machine Learning Engineer developing and deploying AI systems for Personio's HR platform. Collaborating with teams to integrate ML features and products ensuring data privacy and security.
Responsibilities
- Design, develop, and deploy robust machine learning and AI systems for a range of products and use cases, including generative AI.
- Integrate ML and AI models into production systems, ensuring scalability, reliability, and maintainability.
- Deploy and monitor machine learning models and systems, 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, Customer Experience, and other engineering teams) 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.
Requirements
- University degree in Computer Science, Machine Learning, Data Science, or a related field.
- 3+ 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.
- Hands-on experience with ML frameworks (e.g., TensorFlow, PyTorch, Hugging Face).
- Experience working with backend teams and deploying end-to-end products
Benefits
- Receive a competitive reward package – reevaluated each year – that includes salary, benefits, and pre-IPO equity
- Enjoy 28 days of paid vacation, plus an additional day after 2 and 4 years
- Make an impact on the environment and society with 1 (fully paid) Impact Day
- Receive generous family leave, child support, mental health support, and sabbatical opportunities
- We enjoy gathering for meals, cultural initiatives, and events like local Summer Sessions and year-end celebrations. There's also healthy snacks, drinks, and a weekly catered lunch.
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