Job
- Level
- Experienced
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Hamburg
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you develop AI solutions on the Google Cloud Platform, manage MLOps processes, and implement scalable machine learning pipelines from conception to operation.
Job Technologies
Your role in the team
- As a Machine Learning & AI Engineer (m/f/d), you develop and operationalize productive AI solutions on our Business Data & AI Platform in Google Cloud. In this role, you work with Machine Learning, Generative AI, Large Language Models, and AI Agents - from the initial idea through proof of concept to stable operation.
- You take end-to-end responsibility for AI projects in close collaboration with Tchibo Coffee Service, Fachbereichen, and external service providers. In doing so, you ensure an effective, economical, and technically sustainable implementation.
- You develop and operationalize machine learning solutions, for example for predictive maintenance, demand prediction, churn prevention, or fraud detection.
- The design of our agentic and generative AI solutions for large language models and agent-based workflows is also part of your responsibilities. You will ensure a secure, scalable, and meaningful integration into our system landscape.
- You evaluate modern AI technologies, models, frameworks, and platform services, and make well-informed technical decisions for production-ready solutions.
- You develop and operate scalable data models, ML and AI pipelines, as well as the necessary infrastructure. In doing so, you bring classical ML, forecasting, and optimization methods as well as generative AI and LLM-based services via APIs into existing products and processes.
- Together with stakeholders, you translate business requirements into scalable analytics, data, and AI applications. From conception to operation, you are responsible for implementation, MLOps and LLMOps, deployment, as well as monitoring, and ensure transparency and smooth collaboration through structured project management.
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Our expectations of you
Education
- You have a degree in (Business) Informatics, Mathematics, Statistics, Data Science, or a comparable field.
Qualifications
- You combine technical depth with a self-reliant, pragmatic, and solution-oriented working style. Your agile and open mindset is complemented by a strong sense of quality, excellent communication skills, and the ability to make complex technical topics understandable for different target groups. You communicate fluently in German and are proficient in English for negotiations.
Experience
- With 3-5 years of professional experience in Data Science, Machine Learning, AI Engineering, or a comparable role, you can demonstrate tangible successes in the productive implementation of data and AI solutions.
- Excellent knowledge of Python and SQL, as well as practical experience with established ML frameworks such as scikit-learn, PyTorch, or TensorFlow, characterize you.
- Experience with cloud platforms and big data technologies — ideally with Google Cloud Platform and Vertex AI — including pipeline orchestration via Vertex AI Pipelines or Cloud Composer. Knowledge of AutoML, distributed processing, or Ray is a plus.
- You have experience in the reliable operation of ML and AI solutions as well as knowledge in data quality, feature engineering, training, evaluation, deployment, monitoring, and MLOps.
- You bring interest and practical experience with Generative AI, Large Language Models, RAG architectures, Tool Calling, and agent-capable applications. Knowledge of integrating AI services via REST APIs, for example with FastAPI, is advantageous.
- Experience with IoT, machine, or telemetry data, such as MQTT-based data streams, is a plus — especially in the context of data-driven service and predictive maintenance applications.
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What we offer
- Enjoy 30 days of vacation, flexible working hours, and the option for hybrid work. Additionally, we offer you the freedom to work up to 10 days a year from abroad within the EU.
- Look forward to our headquarters' excellent transportation links, a travel allowance for the Deutschlandticket, and the option of bicycle leasing.
- Take advantage of our diverse training offerings for your individual development: e-learning (e.g., LinkedIn Learning), internal and external seminars and training sessions.
- You will receive an employee discount on all Tchibo products and a monthly supply of Tchibo coffee of your choice for personal enjoyment.
- Something for every taste: With a restaurant, bistro, cafeteria, and free drinks, you are well taken care of. And at Christmas, there is the Tchibo Christmas roast, also vegan.
- In our leisure center, you can stay fit at the gym, in the swimming pool, and with sports courses.
- We offer holiday childcare for children, family service programs, and some company-owned daycare places – so you can balance work and private life effectively.
- Through our corporate benefits, you can purchase a wide range of products and services at a discounted rate.
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Benefits
Higher Take-Home Pay
Food & Drink
Work-Life-Integration
Topics You Will Work On
Job Locations
About Your Employer
Tchibo GmbH
The company's own stores, strong Internet sales, and nationwide retail presence give it a multichannel sales system that offers single-serve systems such as Cafissimo and Qbo, as well as changing non-food ranges and services, in addition to coffee under the Tchibo and Eduscho brands. As a leader in the roasted coffee market with the Tchibo and Eduscho brands, the company is also the world's third-largest organic cotton supplier.
Description
- Company Size
- 250+ Employees
- Founding Year
- 1949
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Consumer Goods, Branded Goods, Trade, Food Products
Employer reviews
by devworkplaces.com
Total
(2 Reviews)3.4
Career Growth
3.0Workingconditions
4.3Engineering
3.0Culture
3.5
Machine Learning & AI Engineer
- Location
- Hamburg
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
