(Senior) AI/ML Engineer (all genders)

The role

You will design, build, and maintain end to end ML pipelines in Vertex AI. You will also pioneer GenAI enablement including retrieval augmented generation, embeddings, and AI driven applications.

What you will do

• Design, build, and maintain modular, reusable ML pipelines in Vertex AI Pipelines
• Develop GenAI capabilities including embeddings, retrieval pipelines, vector databases, and RAG frameworks
• Build and manage feature stores and reusable datasets
• Productionise workflows with Prefect orchestration and CI/CD pipelines in Bitbucket
• Implement continuous evaluation, drift detection, performance monitoring, rollback strategies, and retraining triggers
• Embed GDPR compliance, RBAC, anonymisation, explainability, fairness, and auditability into models and pipelines
• Document lineage of features, models, and inference workflows
• Translate technical capabilities into business friendly outcomes
• Mentor Data Engineers in ML Ops and GenAI techniques

Required qualifications

• At least 5 years of experience in Data Engineering or ML Ops
• At least 3 years focused on productionising ML pipelines
• A degree in Computer Science, Data Science, Engineering, or a related field
• Expert proficiency in Python and ML/DL libraries such as scikit-learn, TensorFlow, PyTorch, Hugging Face, and LangChain
• Strong with BigQuery, db, and SQL for feature and data preparation
• Hands-on experience with Vertex AI for pipeline orchestration, deployment, and monitoring (or AWS/GCP equivalents)
• Experience with Prefect orchestration and CI/CD pipelines in Bitbucket
• Familiarity with ML Ops frameworks such as MLflow or TFX
• Containerisation with Docker and Kubernetes
• Experience with vector databases such as Pinecone, FAISS, or Milvus
• Proven delivery of ML or GenAI use cases in production with measurable business impact
• Strong stakeholder communication

Nice to have

• PhD

Benefits

• An appealing discount on all of our products
• 28 days of paid time off per year plus up to 5 days off between Christmas and New Year
• The Urban Sports Club membership
• Either Swapfiets bike rental or a subsidy for the Deutschlandticket
• Various discounts of up to more than 50 percent on brands such as Flaconi, Bosch, Apple or Expedia
• Real ownership and room for new initiatives
• Inviting office spaces with access to organic teas and superfoods
• Regular tea and office parties, Christmas and summer feasts and various influencer events

About the company

Sunday Natural is a quality manufacturer with its own research and development department in Berlin. The team in Berlin consists of over 400 employees from more than 45 nationalities.