AI/ML Engineer (all genders)
Responsibilities
- check_circle Design, build, and maintain modular, reusable ML pipelines in Vertex AI Pipelines covering training, evaluation, deployment, monitoring, and retraining.
- check_circle Develop GenAI capabilities including embeddings, retrieval pipelines, vector databases, and RAG frameworks for chatbots, personalisation, and semantic search.
- check_circle Build and manage feature stores and reusable datasets in collaboration with Data Engineers and Analysts.
- check_circle Productionise workflows with Prefect orchestration and CI/CD pipelines in Bitbucket.
- check_circle Implement continuous evaluation, drift detection, performance monitoring, rollback strategies, and retraining triggers for deployed models.
- check_circle Embed GDPR compliance, RBAC, anonymisation, explainability, fairness, and auditability into every model and pipeline.
- check_circle Document lineage of features, models, and inference workflows, and partner with the Data Governance Lead on ethical AI frameworks.
- check_circle Translate technical capabilities into business friendly outcomes, communicating trade offs across accuracy, latency, and cost to non technical stakeholders.
- check_circle Mentor Data Engineers in ML Ops and GenAI techniques, and contribute to internal AI/ML guilds and best practices.
- check_circle 5 to 7 years of experience in Data Engineering or ML Ops, with at least 3 years focused on productionising ML pipelines.
- check_circle A degree in Computer Science, Data Science, Engineering, or a related field. PhD a plus.
- check_circle Expert proficiency in Python and ML/DL libraries such as scikit-learn, TensorFlow, PyTorch, Hugging Face, and LangChain.
- check_circle Strong with BigQuery, dbt, and SQL for feature and data preparation.
- check_circle Hands-on experience with Vertex AI for pipeline orchestration, deployment, and monitoring (or AWS/GCP equivalents).
- check_circle Experience with Prefect orchestration and CI/CD pipelines in Bitbucket.
- check_circle Familiarity with ML Ops frameworks such as MLflow or TFX, and containerisation with Docker and Kubernetes.
- check_circle Experience with vector databases such as Pinecone, FAISS, or Milvus.
- check_circle Proven delivery of ML or GenAI use cases in production with measurable business impact.
- check_circle Strong stakeholder communication and the ability to translate AI/ML into measurable business outcomes.
- check_circle Systems thinker with strong ethical grounding in responsible AI; balances innovation with operational reliability and cost control.
Preferred qualifications
- Experience with retrieval augmented generation in regulated or compliance heavy environments.
- Exposure to ecommerce, retail, or DTC AI use cases such as personalisation, recommendation, or demand forecasting.
- Contributions to open source AI/ML projects or active participation in AI/ML communities.
Benefits
- check_circle An appealing discount on all of our products – from essential oils to vitamins & nutrients
- check_circle The Urban Sports Club membership, Swapfiets bike rental and a subsidy for the BVG ticket
- check_circle 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 on an individual basis
- check_circle We offer 28 days of paid time off per year plus up to 5 days off between Christmas and New Year
- check_circle Enjoy a little joy every month with our ‘Product of the Month’ and celebrate your birthday with an exclusive birthday gift
- check_circle We believe great things happen when we meet in person, which is why we embrace a hybrid model with one home office day per week – up to two depending on the area you are working in – and up to two weeks per year working from abroad
- check_circle Receive various discounts of up to more than 50 percent on attractive brands such as Flaconi, Bosch, Apple or Expedia
- check_circle You will be given real ownership and plenty of room for new initiatives, as well as the opportunity to contribute your expertise and implement your great ideas
- check_circle Moving for us? We offer case-by-case relocation and visa support depending on your role and experience level to help make your transition as smooth as possible
- check_circle Inviting office spaces with access to plenty of organic teas and superfoods from around the world
- check_circle We like to celebrate each other! Regular tea & office parties, Christmas and summer feasts and various influencer events such as Women's Day
About the company
Sunday Natural emerged from a long-standing passion and research in the fields of health, healing, and personal growth. The lack of natural, high-quality products on the market was the original motivation for founding Sunday Natural in 2013. We aim to produce the products we ourselves would love to buy – as natural as possible, absolutely pure, free from any additives, and of the highest quality. In a strategic partnership with CVC, Sunday Natural is now one of Germany's most renowned quality manufacturers, with its own research and development department in Berlin. For the continuous improvement of our products, we collaborate with selected research institutes, scientists, therapists, farmers, and professional associations.
We take our ecological responsibility very seriously: that’s why the majority of our product range is vegan. We also take an innovative approach to packaging: most of our products are packaged in glass, making them almost entirely recyclable.
Our diverse team in Berlin consists of over 350 employees from more than 40 nationalities and continues to grow – but at a sustainable pace. Our goal is to foster a collaborative, supportive, and inclusive work environment with a diverse group of motivated, talented, and visionary team members.
We highly value equality of opportunity and inclusivity, and we would like to particularly encourage women and candidates from under-represented backgrounds to apply, even if you don’t match with 100% of the requirements.