Machine Learning Engineer

Role overview

Code Compass is hiring a Machine Learning Engineer to help build intelligent software that combines artificial intelligence, automation, and advanced data processing to address complex business problems at scale.

The position sits at the crossroads of machine learning, software engineering, and product development. The team is investing in new AI capabilities and growing its engineering function to advance the platform and associated services.

This opportunity suits someone who wants to move advanced AI work from experimentation into live products and contribute to projects with meaningful real-world outcomes.

Location: Berlin, Germany
Package: €50,000 - €70,000 plus benefits
Work model: Hybrid working

Technology stack

Python, PyTorch, TensorFlow, computer vision, generative AI, diffusion models, GANs, image processing, machine learning, Docker, cloud platforms, production ML systems, automation, and AI workflows.

Key responsibilities

• Create, train, and fine-tune machine learning models for computer vision and generative AI use cases.
• Take ML solutions from development into reliable production deployment.
• Build automation tools that cut down manual work and improve efficiency.
• Track model quality and performance, then make improvements to boost accuracy and stability.
• Work with engineering, product, and operations teams to deliver AI solutions that can be used in practice.
• Explore new technologies and judge how well they fit business needs.
• Help strengthen production ML infrastructure and related workflows.

What the employer is looking for

• Multiple years of practical experience in machine learning and computer vision.
• Solid Python development ability, ideally with PyTorch or TensorFlow.
• Hands-on exposure to generative AI methods such as diffusion models and GANs.
• Knowledge of deployment, scaling, performance tuning, and production ML environments.
• Experience using Docker and cloud infrastructure.
• Familiarity with creative AI tools and visual content workflows.
• Background in image-based products, digital content platforms, or related sectors is advantageous.
• Strong analytical thinking and a practical, solution-focused approach.
• Ability to communicate well in an international, cross-functional setting.

Benefits

• Chance to work with advanced AI and machine learning technologies.
• Collaborative and innovation-led team environment.
• Flexible working setup with hybrid options.
• Exposure to technically demanding problems with tangible impact.
• Support for professional growth, training, and ongoing learning.
• Modern workplace with a strong team culture and regular social activities.

Additional information

Because of the number of applications received, the employer may not reply to every applicant individually. Shortlisted candidates will be contacted directly.