Senior) AI/ML Engineer (all genders)

Sunday Natural; Berlin; Hybrid; EUR 90.000 - 130.000; Vollzeit

Benefits dieser Stelle

Hybrid work model

Urban Sports Club

Deutschlandticket subsidy

Discounts on products

Ownership and initiative space

Office amenities

Zusammenfassung

Sunday Natural is seeking an experienced AI/ML Engineer to lead the Central Data Platform and own the GenAI infrastructure powering analytics across the organisation.

You will design, build, and maintain end-to-end ML pipelines in Vertex AI, develop GenAI capabilities, and ensure governance, reproducibility, and cost control while collaborating with data teams and business stakeholders.

Qualifikationen

• 5–7 years of experience in Data Engineering or ML Ops, with ≥3 years productionising ML pipelines.
• Degree in Computer Science, Data Science, Engineering or related field; PhD a plus.
• Expert proficiency in Python and ML/DL libraries (scikit-learn, TF, PyTorch, HF, LangChain).
• Strong with BigQuery, dbt, and SQL for feature and data prep.
• Hands-on Vertex AI for pipeline orchestration, deployment, and monitoring.
• Experience with Prefect, CI/CD in Bitbucket; familiarity with MLflow or TFX.
• Containerisation with Docker and Kubernetes; vector databases (Pinecone, FAISS, Milvus).
• Proven delivery of ML/GenAI use cases in production with measurable business impact.
• Strong communication to translate AI/ML into business outcomes; ethical AI mindset.

Aufgaben

• Design, build, and maintain modular ML pipelines in Vertex AI Pipelines (training, eval, deployment, monitoring, retraining).
• Develop GenAI capabilities including embeddings, retrieval pipelines, vector DBs, and RAG for chatbots and semantic search.
• Build and manage feature stores and reusable datasets with Data Engineers and Analysts.
• Productionise workflows with Prefect orchestration and CI/CD in Bitbucket.
• Implement continuous evaluation, drift detection, and retraining triggers; ensure governance and compliance.
• Mentor Data Engineers in ML Ops and GenAI; contribute to internal AI/ML guilds and best practices.

Kenntnisse

Python

ML Ops

Vertex AI

BigQuery

SQL

CI/CD

Docker

Kubernetes

Prefect

LangChain

Ausbildung

Bachelor's degree in Computer Science / Data Science / Engineering

PhD (a plus)

Tools

Vertex AI

Bitbucket

Docker

Kubernetes

Pinecone

FAISS

Milvus

scikit-learn

TensorFlow

PyTorch

Hugging Face

LangChain

dbt

MLflow

TFX

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-represent backgrounds to apply, even if you don’t match with 100% of the requirements.

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