Machine Learning Engineer (f/m/d)

Awin · Berlin, Berlin; München, Bavariamid

En corto

▸Ingeniero de ML que desarrolla y automatiza modelos predictivos con Python y Databricks.
▸Trabaja en modelos que mejoran decisiones comerciales y gestión de campañas dentro de un equipo global.
▸Destacado: uso de IA generativa y bases de datos vectoriales en pipelines de ML.

Proactive communication in English is required

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¿Qué piden?

✓2+ años experiencia como ingeniero de datos en proyectos de IA/ML con Python
✓Experto en Databricks (Jobs, Delta Lake, MLflow, Asset Bundles)
✓Dominio avanzado de Python y bibliotecas como PySpark, Scikit-learn, TensorFlow/PyTorch
✓Experiencia con Azure Data Factory, ADLS y servicios cloud (Azure/AWS)
✓Conocimiento práctico de modelos generativos (ChatGPT, Claude) y herramientas Databricks GenAI
✓Habilidades para diseñar soluciones ETL end-to-end sobre big data con Spark

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PythonDatabricksPySparkScikit-learnTensorFlowPyTorchMLflowAzure Data FactoryAzure Data Lake Storage (ADLS)Vector Databases

¿A quién escribirle en Awin?

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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-reliant with the courage to take autonomous decisio

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