The vacancy is well-structured with clear responsibilities and compensation, but lacks company details.
Job description
We are looking for an experienced AI/ML Engineer to join our Central Data Platform team and take ownership of the machine learning and GenAI infrastructure that powers advanced analytics and AI use cases across the organisation.
Responsibilities
### What you'll do
- Design, build, and maintain modular, reusable ML pipelines in Vertex AI Pipelines covering training, evaluation, deployment, monitoring, and retraining.
- Develop GenAI capabilities including embeddings, retrieval pipelines, vector databases, and RAG frameworks for chatbots, personalisation, and semantic search.
- Build and manage feature stores and reusable datasets in collaboration with Data Engineers and Analysts.
- Productionise workflows with Prefect orchestration and CI/CD pipelines in Bitbucket.
- Implement continuous evaluation, drift detection, performance monitoring, rollback strategies, and retraining triggers for deployed models.
- Embed GDPR compliance, RBAC, anonymisation, explainability, fairness, and auditability into every model and pipeline.
- Document lineage of features, models, and inference workflows, and partner with the Data Governance Lead on ethical AI frameworks.
- Translate technical capabilities into business friendly outcomes, communicating trade offs across accuracy, latency, and cost to non technical stakeholders.
- Mentor Data Engineers in ML Ops and GenAI techniques, and contribute to internal AI/ML guilds and best practices.
Requirements
### Your profile
- 5 to 7 years of experience in Data Engineering or ML Ops, with at least 3 years focused on productionising ML pipelines.
- A degree in Computer Science, Data Science, Engineering, or a related field. PhD a plus.
- Expert proficiency in Python and ML/DL libraries such as scikit-learn, TensorFlow, PyTorch, Hugging Face, and LangChain.
- Strong with BigQuery, dbt, 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, and 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 and the ability to translate AI/ML into measurable business outcomes.
- Systems thinker with strong ethical grounding in responsible AI; balances innovation with operational reliability and cost control.
Conditions
### What we offer
- An appealing discount on all of our products – from essential oils to vitamins & nutrients.
- The Urban Sports Club membership, Swapfiets bike rental and a subsidy for the BVG ticket.
- Your career is unique. That’s why we offer the opportunity for tailored Learning & Development as well as (Leadership) Coaching programs, designed to support your personal professional journey.
About sunday
Sunday Natural Products GmbH is a company that appears to sell natural health and wellness products, with job listings hosted on Personio. The available evidence indicates it is a consumer products/e-commerce business rather than a software company.
