AI/ML Engineer (all genders)

Sunday Natural Products GmbH; Berlin; Vor Ort; EUR 90.000 - 130.000; Vollzeit

Benefits dieser Stelle

Hybrid work model

Urban Sports Club membership

Deutschlandticket subsidy

Discounts on partner brands

Ownership and initiative space

Office with organic teas

Zusammenfassung

Sunday Natural Products GmbH is seeking an experienced AI/ML Engineer to join our Central Data Platform team and own the ML and GenAI infrastructure powering advanced analytics across the organisation. You will design, build, and maintain end-to-end ML pipelines in Vertex AI, ensuring production-ready, monitored, cost-efficient pipelines with governance and reproducibility from day one.

You will lead GenAI initiatives and collaborate with data engineers, analysts, scientists, and business

Qualifikationen

• 5–7 years of experience in Data Engineering or ML Ops, with 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.

Aufgaben

• Design, build, and maintain ML pipelines in Vertex AI from training to retraining.
• Develop GenAI capabilities including embeddings, RAG, and semantic search.
• Create and manage feature stores with collaboration from data teams.
• Productionise workflows with Prefect and CI/CD pipelines in Bitbucket.
• Implement evaluation, drift detection, monitoring, and retraining triggers.
• Embed GDPR, RBAC, anonymisation, explainability, fairness, and auditability.
• Document lineage of features, models, and inference workflows.
• Communicate trade-offs between accuracy, latency, and cost to stakeholders.
• Mentor Data Engineers in ML Ops and GenAI practices.

Kenntnisse

Data Engineering

ML Ops

Python

scikit-learn

TensorFlow

PyTorch

Hugging Face

LangChain

BigQuery

dbt

SQL

Vertex AI

Prefect

CI/CD

Bitbucket

MLflow

TFX

Docker

Kubernetes

Pinecone

FAISS

Milvus

GenAI

RAG

Embeddings

RBAC

GDPR

Explainability

Ausbildung

Bachelor's degree in Computer Science, Data Science, Engineering or related field; PhD a plus

Tools

Docker

Kubernetes

Vertex AI

Prefect

Bitbucket

MLflow

TFX

Pinecone

FAISS

Milvus

Jobbeschreibung

Your role

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.

In this role, you will design, build, and maintain end to end ML pipelines in Vertex AI, ensuring that models move seamlessly from prototype to production ready, monitored, cost efficient, and compliant pipelines. You will also pioneer GenAI enablement, including retrieval augmented generation, embeddings, and AI driven applications, while embedding governance, reproducibility, and scalability from day one.

This is a pivotal position with high impact on how AI and machine learning capabilities are delivered, scaled, and governed at Sunday Natural. You will act as the bridge between Data Engineers, Senior Data Analysts, Data Scientists, and business stakeholders, ensuring AI/ML work has measurable, repeatable, and strategic business impact.

• 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.

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.

What we offer

• An appealing discount on all of our products - from essential oils to vitamins & nutrients
• We offer 28 days of paid time off per year plus up to 5 days off between Christmas and New Year
• The Urban Sports Club membership and either Swapfiets bike rental or a subsidy for the Deutschlandticket
• 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
• Receive various discounts of up to more than 50 percent on attractive brands such as Flaconi, Bosch, Apple or Expedia
• 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
• Inviting office spaces with access to plenty of organic teas and superfoods from around the world
• We like to celebrate each other! Regular tea & office parties, Christmas and summer feasts and various influencer events such as Women's Day

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 45 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.