Machine Learning Engineer (f/m/d)

United States Digital Space LLC; Berlin; Vor Ort; EUR 90.000 - 120.000; Vollzeit

Benefits dieser Stelle

Flexi-Week

Flexi-office

Work Expense Contribution & Remote/WFH

Health and Wellbeing

Development Academy

Peer recognition

Zusammenfassung

United States Digital Space LLC is seeking a Machine Learning Engineer in Berlin to research, design, and automate predictive models and establish metrics to monitor performance. You will translate business needs into technical specifications and write clean, scalable code for end-to-end ETL and model development.

Responsibilities include delivering maintainable models, evaluating current systems, and collaborating with data engineers and analysts across the global Data Services team to drive

Qualifikationen

• Bachelor’s degree or higher in Data Science, Data Engineering or a related field, preferably with a strong focus on mathematics, statistics, or data engineering.
• 2+ years experience as data engineer on AI/ML project with Python
• Strong experience using Databricks, including Jobs, Asset Bundles, Delta Lake, and MLflow, as well as Azure data engineering tools such as Azure Data Factory and Azure Data Lake Storage (ADLS).
• Solid understanding of Scrum practices and a strong Agile mindset.
• Advanced proficiency in Python and its key data and ML libraries (NumPy, PySpark, Scikit learn, TensorFlow/PyTorch)
• Working knowledge of generative AI models (e.g., ChatGPT, Claude), Databricks GenAI tooling (including embedding models), and modern data structures such as vector databases.
• Strong expertise in designing end to end ETL solutions using Databricks, including identifying, extracting, and curating datasets for machine learning model development.
• Strong knowledge of cloud platforms (Azure and AWS) and relevant services.
• Hands on experience with big data technologies, including Databricks and Spark.

Aufgaben

• Write clean, elegant and maintainable code with Data engineering and AI/ML best practices.
• Understanding business objectives and developing models that help to achieve them, along with the creation and monitoring of business relevant metrics.
• Find new ways solve complex business problems with self improving automated predictive models.
• Evaluate existing models and recommend improvements for better result and performance efficiency.
• Develop best practices for building and orchestrating predictive models.
• Be responsible for quality, accuracy and interpretation of the result sets.

Kenntnisse

Python

Databricks

Azure

AWS

Spark

ETL

ML libraries

SQL

Ausbildung

Bachelor’s degree in Data Science

Math/Statistics focus

Tools

Azure Data Factory

Azure Data Lake Storage

MLflow

Delta Lake

Databricks GenAI tooling

Jobbeschreibung

Purpose of position
Data sits at the heart of the company. This role ensures that the company can fully leverage the data available across the group, enabling the development of robust reporting capabilities that support stronger commercial decision making and elevate campaign management for client facing teams.

As a Machine Learning Engineer, you will be responsible for researching, designing, building, and automating predictive models, as well as establishing metrics to monitor model performance and accuracy. You bring strong communication and analytical skills, work effectively both independently and within a team, and contribute proactively to improving engineering standards and working practices.

You possess a deep understanding of data and business requirements and can translate these into clear technical specifications. You write clean, maintainable, and high quality code, and you are capable of implementing a wide range of data extraction, transformation, and storage methodologies. Your expertise enables you to develop new predictive models while also enhancing and optimizing existing ones.

In this role, you will break down complex requirements into structured, actionable tasks. As part of the Data Services department, you will collaborate with a global team of data engineers, data analysts, and other big data specialists across the organisation.

Key Tasks & Responsibilities

• Write clean, elegant and maintainable code with Data engineering and AI/ML best practices
• Understanding business objectives and developing models that help to achieve them, along with the creation and monitoring of business relevant metrics
• Find new ways solve complex business problems with self improving automated predictive models.
• Evaluate existing models and recommend improvements for better result and performance efficiency
• Develop best practices for building and orchestrating predictive models.
• Be responsible for quality, accuracy and interpretation of the result sets.

Education & Experience

• Bachelor’s degree or higher in Data Science, Data Engineering or a related field, preferably with a strong focus on mathematics, statistics, or data engineering.
• 2+ years experience as data engineer on AI/ML project with Python
• Strong experience using Databricks, including Jobs, Asset Bundles, Delta Lake, and MLflow, as well as Azure data engineering tools such as Azure Data Factory and Azure Data Lake Storage (ADLS).
• Solid understanding of Scrum practices and a strong Agile mindset.
• Advanced proficiency in Python and its key data and ML libraries (NumPy, PySpark, Scikit learn, TensorFlow/PyTorch)
• Working knowledge of generative AI models (e.g., ChatGPT, Claude), Databricks GenAI tooling (including embedding models), and modern data structures such as vector databases.
• Strong expertise in designing end to end ETL solutions using Databricks, including identifying, extracting, and curating datasets for machine learning model development.
• Strong knowledge of cloud platforms (Azure and AWS) and relevant services.
• Hands on experience with big data technologies, including Databricks and Spark.

Skills & Core competences

• Very strong analytical skills to translate business need into actions with proactive approach to task and challenges, delivering project on time and budget
• Very strong understanding of the principles of machine learning
• Create mind-set to bring new ideas and push the machine learning project to next level
• Willing to change, learn and start initiatives
• Ability to face existing challenges self-reliant with the courage to take autonomous decisions if needed
• Very strong communication and interaction skillsVery strong project and process management competency, keen to deliver your project on time/budget without compromising on quality and results
• Team player, willing to improve yourself

Our Offer

• Flexi-Week: We prioritise your mental health and wellbeing by offering you a four-day Flexi-Week (with one lighter or completely disconnected day per week) at full pay, with no reduction to your annual holiday allowance.
• Flexi-office: We offer an international culture and flexibility through our hybrid/remote working scheme which is designed to foster a culture of mutual trust and working flexibility.
• Work Expense Contribution & Remote Working Furniture: You will receive a monthly allowance to cover part of your running costs, as well as a furniture package to support you in setting up a comfortable workspace when working from home.
• Health and Wellbeing: With our support and access to various initiatives and sports offers, you can focus on your mental and physical wellbeing.
• Development: We’ve built our extensive training suite, the company Academy, to cover a wide range of skills that support your professional and personal growth, with trainings conveniently packaged to help your overall development.
• Appreciation: Thank and reward colleagues by sending them a voucher through our peer-to-peer recognition programme.

We are hiring in multiple countries for this role. Additional benefits, including health and wellbeing offerings, will be discussed during the initial interview.

Established in 2000, the company is proud of our dynamic, social and inclusive culture.

Like all businesses, we’ve had to adapt and nurture our culture in a virtual environment. Our virtual ‘Life @ the company’ hub brings our colleagues from across the globe together for various social activities.

Diversity & Inclusion are paramount to us, and we proudly pursue and hire diverse team members. We champion uniqueness and authenticity; this is who we are at our core. Our network of affiliate partnerships are diverse and transparent, as are the employees powering our vision to build the world’s leading open partner ecosystem. We welcome all backgrounds, identities, and experiences. If you need support at any point in the application or interview process, please let us know.

the company is part of the Axel Springer group. Learn more at axelspringer.com/en/, and explore the Axel Springer Essentials here: axelspringer.com/en/inside/the-essentials-what-we-have-adapted-and-why