Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

About the Role

This role ensures Awin can fully leverage its data, enabling robust reporting capabilities to support commercial decision-making and enhance campaign management for client-facing teams. As a Machine Learning Engineer, you will research, design, build, and automate predictive models, establishing metrics to monitor their performance and accuracy. You will translate deep understanding of data and business requirements into technical specifications, write high-quality code, and implement data extraction, transformation, and storage methodologies. You will break down complex requirements into actionable tasks and collaborate with a global team of data specialists.

Responsibilities

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

Requirements

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 of experience as a data engineer on AI/ML projects using Python.
Strong experience using Databricks, including Jobs, Asset Bundles, Delta Lake, and MLflow.
Strong experience using 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

Very strong analytical skills to translate business needs into actions with a proactive approach to tasks and challenges, delivering projects on time and budget.
Very strong understanding of the principles of machine learning.
Creative mindset to bring new ideas and advance machine learning projects.
Willingness to change, learn, and initiate.
Ability to face existing challenges self-reliantly with the courage to make autonomous decisions if needed.
Very strong communication and interaction skills.
Very strong project and process management competency, keen to deliver projects on time/budget without compromising quality and results.
Team player, willing to improve yourself.
Strong communication and analytical skills.
Work effectively both independently and within a team.
Contribute proactively to improving engineering standards and working practices.

Location

Multiple countries

Work Type

Hybrid/remote working scheme

Experience Level

2+ years experience

Education Level

Bachelor’s degree or higher

Benefits

Flexi-Week: Four-day work week at full pay.
Flexi-office: Hybrid/remote working scheme.
Work Expense Contribution & Remote Working Furniture: Monthly allowance and furniture package for remote work.
Health and Wellbeing: Support and access to initiatives and sports offers.
Development: Access to Awin Academy for professional and personal growth.
Appreciation: Peer-to-peer recognition program.
Additional benefits discussed during the initial interview.

About the Company

Established in 2000, Awin has a dynamic, social, and inclusive culture.
Awin nurtures its culture in a virtual environment through its virtual ‘Life @ Awin’ hub.
Diversity & Inclusion are paramount; Awin champions uniqueness and authenticity.
Awin is part of the Axel Springer group.

Equal Opportunity

We proudly pursue and hire diverse team members.
We welcome all backgrounds, identities, and experiences.
If you need support at any point in the application or interview process, please let us know.