Senior Machine Learning Engineer - (Vendor Data)

Requirements:

• Expert knowledge of data management, storage, and best MLOps and DataOps practices
• Deep expertise with modern ML frameworks and libraries (e.g. TensorFlow, PyTorch)
• Experience in designing, deploying, and operating large-scale machine learning systems in production
• Hands-on experience with cloud platforms and distributed infrastructure (AWS, GCP, Azure)
• Experience with CI/CD pipelines and commonly used tools in ML Engineering
• Strong systems-level problem-solving skills
• Great communication and collaboration skills

Nice to Haves:

• Proven ability to design and scale ML systems under strict constraints
• Demonstrated impact in translating advanced research into production systems

What You'll Be Doing:

• Drive the design, build and maintain large-scale machine learning systems
• Architect scalable, reliable, and cost-efficient ML infrastructure
• Set and uphold best practices for productionising ML
• Collaborate with product, engineering, analysts, and data science teams
• Leverage cloud technologies to build reliable systems
• Raise the technical bar and foster a culture of excellence
• Stay ahead of industry and academic trends

Perks and Benefits:

• Hybrid working model with face-to-face connection in Berlin campus
• 27 days holiday with additional days based on years of service
• Development and career growth opportunities
• Health benefits including gym subsidy
• Financial support and insurance benefits
• Food vouchers and corporate discounts