Python Developer (AWS / MLOps) (m/f/d)

Are you an experienced Python developer with a deep understanding of AWS and an interest in machine learning? Would you like to work in an environment where artificial intelligence is not just a buzzword, but is used productively on a daily basis? Then we are looking for you!

We offer you an exciting work environment in the field of digital marketing and AI , where you will actively contribute to the further development of our AI-based optimization platform . Our SaaS solution has been successfully in use for over five years, optimizing hundreds of campaigns with artificial intelligence every day and processing millions of data records in real time.

Your tasks

• Further development and optimization of our ML pipeline for data processing, model training, and inference.
• Development and maintenance of ETL processes and data pipelines with Pandas and other Python frameworks.
• Processing and analyzing large amounts of data as part of our AI-based decision-making processes.
• Integration of external services via REST and GraphQL APIs .
• Setting up and maintaining our AWS infrastructure with a focus on MLOps (e.g., SageMaker, Lambda, EventBridge, API Gateway, DynamoDB, S3, and ECS).
• Close collaboration with our AI Engineer for the productive integration of machine learning models.

What you bring

• At least 3 years of professional experience as a Python developer.
• In-depth knowledge of AWS services (e.g., Lambda, EventBridge, API Gateway, DynamoDB, S3, and ECS).
• Experience in setting up and operating MLOps or data pipelines .
• Confident use of Pandas , Requests , NumPy , and JSON-based APIs.
• Understanding of data modeling and performance in large, distributed systems.
• Basic knowledge of machine learning/AI is a plus.
• Very good German and English skills.
• Independent, structured, and solution-oriented approach to work.

What we offer

• An innovative environment with real AI use cases in digital marketing.
• Hybrid working: remote or on-site in Cologne.
• Attractive compensation and flexible working hours.
• Focus instead of stress: You will work on the further development of our AI platform—no agency hustle and bustle, no customer projects.
• Opportunities for further training in machine learning, AWS, and data engineering.
• A motivated team with short decision-making processes, direct communication, and real responsibility.