Machine Learning Engineer (f/m/d)

Meyandy LLC; Berlin; Vor Ort; EUR 70.000 - 110.000; Vollzeit

Zusammenfassung

Meyandy LLC in Berlin, Germany is seeking a Machine Learning Engineer to research, design, build and automate predictive models and to establish metrics that monitor model performance and accuracy. You will collaborate with data engineers, data analysts and other big data specialists to deliver robust analytics for commercial decision making and client campaigns.

You will translate business requirements into clear technical specifications, write clean, maintainable code, and develop end-to-end

Qualifikationen

• Bachelor’s degree or higher in Data Science, Data Engineering or a related field.

Aufgaben

• Write clean, elegant, maintainable code following best practices.
• Develop predictive models and monitor metrics for performance.
• Translate business requirements into technical specs.
• Collaborate with global data engineering and analytics teams.
• Break down complex requirements into actionable tasks.

Kenntnisse

Python

Analytical thinking

Team collaboration

Agile mindset

Problem solving

Ausbildung

Bachelor’s degree or higher in Data Science / Data Engineering

Tools

Databricks

Azure

AWS

Spark

MLflow

TensorFlow/PyTorch

Jobbeschreibung

Purpose of position

Data sits at the heart of the company. This role ensures that Awin 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…